摘要:Recommender system is established on users' private information.However,based on results of recommender system,attackers can predict users' states and behaviors.At present,although some researchers focus on collaborative filtering neighbor theory to preserve users' privacy,very few researchers pay enough attention to the model-based privacy-preserving.Differential privacy offers a strong degree of privacy protection by adding noise.And there is interest drift in users' interest.So this paper proposes a recommender system model based on differential privacy theory and time series theory.Firstly,according to differential privacy theory,we add some Laplace-distribution-fitted noises into users' score data to enlarge safety factor in factorization matrix.Then based on Stochastic gradient descent model,we model time series factor as time weight to improve the accuracy of the model.Experimental results demonstrate the accuracy of the algorithm,which provides a valuable perspective for privacy-preserving recommender research.
关键词:recommender system;non-negative matrix factorization;Stochastic gradient descent;differential privacy;time series
摘要:Most of the current object tracking algorithms will fail when sudden appearance changes and serious occlusions occur.Inspired by the mechanism of human brain three-stage memory model,this paper develops a spinning tri-layer-circle memory model(STLC-MM) and applies it for template updating during object tracking.Three memory spaces are defined to store and process the object templates used during tracking.With three circle memory spaces spinning,templates in the three memory spaces are updated by imitating the cognitive process of memorization,recall,and forgetting.Finally,in order to verify the effect of the proposed model,STLC-MM is incorporated into a particle filter (PF) framework.Experimental results show that the proposed method is more robust to sudden appearance changes and serious occlusions.
摘要:The effective use of polarization information can improve the precision of target feature extraction and recognition.Aiming at the problem of extracting the micro-Doppler frequency of micro-motion targets,after introducing the traditional micro-Doppler extraction method,the full-polarization echo model of micro-motion targets is built,and then a full polarization-based micro-Doppler extraction algorithm is proposed.Such algorithm takes the time-frequency image contrast as the objective function and improves the time-frequency image quality by seeking for the optimal polarization vectors.The simulation results show that the proposed method can obtain a higher image contrast than the traditional time-frequency method.Furthermore,the real data demonstrates that the image contrast obtained by the proposed method is 2.56,compared with 0.88 to 1.66 of the traditional method.All the experimental results confirm the effectiveness of the proposed method and its advantages over the traditional method.
摘要:While the existing online community detection methods mostly only deal with the nodes and edges from the increment part,which are difficult to effectively detect the dynamic changes in the community structure.Based on this,a new method for the detection of flow graphs based on online non negative matrix factorization (ONMF) is proposed.Firstly,our method put graph data into the cache as continuous streams to deal with.Then,our method iteratively updates the existing community belonging matrix real-time using online nonnegative matrix decomposition architecture and by means of the projected gradient descent theory.Lastly,through effective learning rate and cache strategy setting,our method ensures the convergence and rationality of graph stream processing.Experiments on real network data sets show that ONM has a higher community detection quality compared with the existing methods.
摘要:In space-borne synthetic aperture radar (SAR),severe conflicts exists between azimuth high resolution and wide swath due to Doppler and range ambiguity.To solve this problem,a range ambiguity resolving method for high-resolution and wide-swath (HRWS) imaging with frequency diversity array (FDA) SAR is proposed in this paper.Based on the extra degrees-of-freedom in range domain,FDA is capable of distinguishing the range ambiguous signal in spatial frequency domain.The proposed method first separates the range ambiguous signal in spatial frequency domain,and then performs imaging processing separately on different range ambiguous region to achieve HRWS imaging.Simulation results validate the effectiveness of the proposed method.
摘要:Exploiting brisk transmit waveforms and elaborate array configuration,multiple-input-multiple-output (MIMO) radar system has significant advantages in weak-target detection and high-resolution parameter estimation.In this paper,a mathematical model is established for interception,reconnaissance and identification of MIMO radar signals.By using maximum likelihood estimation and alternating projection,an algorithm which makes use of the constant modulus property of the radar signals is proposed for blind separation of MIMO radar signals.Both theoretical and numerical results are provided to demonstrate the performance of the proposed algorithm.It is shown that,if the signal to noise ratio (SNR) is higher than 0dB,the proposed algorithm can achieve a satisfactory separation performance and the correlations of the separated signals with the original signals are very high.Moreover,the proposed algorithm significantly outperforms the existing non-circular complex fast independent component analysis (NC-Fast ICA) algorithm.
摘要:The previous approaches on parametric yield prediction are limited to either predicting parametric yield for single performance metric,or balanced optimizing several single-parametric yields.Consequently,these approaches may result in significant yield loss.In order to avoid the deficiency,this paper suggests a copula-based multi-parametric yield prediction method.First,the method models power and timing randomly and correlatively.Then,saddle point line sampling is applied to estimate their marginal distributions.Finally,according to copula theory,the multi-parametric yield is predicted.Experimental results demonstrate that comparing to Monte Carlo (MC) simulation,the proposed method has higher simulation efficiency,the simulation time is reduced by more than 12%.In addition,the relative errors of the results of this method and MC simulation in different ISCAS benchmark circuits are maintained at less than 9%,and under arbitrary performance limit,the proposed method can predict multi-parametric yield effectively.It provides the designer with yield information that considers multiple performance metrics simultaneously.
关键词:design for manufacturability;parameter variation;multi-parametric yield prediction;Copula theory;saddle point line sampling
摘要:The problem of information security is becoming serious,and the random numbers are the cornerstone of information security systems.This paper proposes a Hash-based pseudo-random number generator (PRNG) which takes static random access memory physical unclonable functions (SRAM PUFs) as entropy sources.This PRNG verifies the availability of entropy sources online and reseeds dynamically which improved the security of pseudo-random numbers.Therefore,it can be securely applied in high-level secure cryptographic protocols.This PRNG is implemented on FPGA development platform and the generation speed is up to 598.1Mbps.Experimental results of the NIST statistical test suite show that,the pseudo-random numbers generated by this PRNG pass all random tests and have good randomness.
摘要:There are two shortcomings in the standard interacting multiple model (IMM) algorithm:one is that designing models is difficult,the other is that the application of constant transition probability matrices makes the model switching speed slow and tracking accuracy decreased.To overcome these shortcomings,an IMM algorithm with adaptive transition probability is proposed.Firstly,a new model-set design method is proposed,and the strong tracking modified input estimation (STMIE) model and constant velocity (CV) model are adopted as the model sets of the IMM algorithm.By using the capability of STMIE model to track high maneuvering targets and the precision of CV model to track non-maneuvering targets,this algorithm can be comprehensively adaptive in target tracking.Secondly,a new method is proposed to modify the Markov transition probability in real time based on the likelihood values of the models,which enhances the effect of the matching model,and weakens the influence of the mismatched model.Simulation results show that the new method improves model switching speed and tracking precision of IMM algorithm,and the tracking precision of IMM-STMIECV algorithm is higher than that of IMM-CVCA,IMM-CVCACT and IMM-CVCS algorithms.
摘要:In order to demodulate the mixed co-channel automatic identification system (AIS) signals from neighbor cells,a multi-antenna receiver system is employed where the FPGA based independent component analysis (ICA) algorithm is implemented to separate the mixtures.To achieve real-time processing,we simplify the iteration formula by using sign function instead of hyperbolic tangent for nonlinear mapping,reducing the hardware complexity.Furthermore,a parallel iteration structure is adopted to improve the real-time performance.The paper also designs high precision eigen value decomposition (EVD) module to whiten the received mixtures.Finally,the FPGA design is simulated in Xilinx software platform Isim.Simulation results show that,when clocked at 20 MHz,the system completes separating 4 channels of 512 points mixed AIS signals within 850 μ s.This design can also be applied in radar,sonar and other real-time processing systems where co-channel interference may exist.
摘要:Multiple light sources cause the low visibility in the brightest region in nighttime images,a glow term was defined in the traditional atmospheric scattering model.A defogging model was constructed for nighttime foggy images.Based on the model,a nighttime image defogging algorithm was proposed.The algorithm decomposed the original image into a nighttime foggy image layer and a glow image layer,and then the color-shift correction operation and the guided filter were applied for the foggy image layer.Thus,the defogging results can be obtained.Comparisons with dark channel prior method,fast median filter method,image color transfer method,and nighttime imaging model method verified the effectiveness of the proposed algorithm.This algorithm can be applied in such devices as vehicle collision avoidance systems,traffic surveillance systems,and other recognition systems.
摘要:For the traditional module optimization community partition algorithms can only use the structure information of network,and cannot use the rich content information,leading to low precision problem.A community partition algorithm that is combined with the content attribute and empowers the edge to fully optimize the topology of the network,called CCSRW (Classification with Content-Structure and Random Walk) is proposed.We use random walk theory to calculate the similarity relationship matrix between structure nodes and content nodes,and map structure nodes onto the content attribute space,finally divide the community partition problems into multidimensional unsupervised clustering problems.Comprehensive experimental analysis on the real data sets shows that compared to the traditional community partition algorithms,this algorithm can describe the network structure more accurately,improve the classification performance significantly,and solve the problem that is not sensitive to small community effectively,and it is more suitable for the large-scale complex information network community partition.
摘要:The attenuation at millimeter wave frequencies due to water contamination within a radar system is investigated in this paper.A model consisting of four layers of a potential contaminant is adopted in order to simulate the scattering behavior when water deposits are present with a radome.An attenuation parameter based on the Fresnel principle is proposed at 150GHz and 298GHz,which is supported by measurements that are obtained from pure water experiments.The attenuation due to realistic water-based contaminants in a typical outdoor environment,such as rain water,is measured and analyzed; furthermore,attenuations through sea water with different salinity is measured and analyzed.The experimental results show that the attenuation produced by radome water deposits increases with water thickness and this attenuation is not heavily dependent on the particles,such as dirt and salt,within the water-based liquid.The results presented are important in determining the feasibility of millimeter wave radar devices in realistic outdoor environments.
关键词:millimeter wave;water-based medium;attenuation function
摘要:Based on qualitative description of code replaceability in ISO25010 standard,it is difficult to quantitatively measure code replaceability.In order to make this process automatic,we define a replaceability measurement formulation by adequately considering the coupling relationship and intrinsic complexity in classes/packages.Then,an experiment is performed on 100 popular open source projects,and results show that (1) there are significant differences among different classes in terms of replaceability and these differences largely depend on the degree of communication between different classes and (2) there is no significant linear relationship between package replaceability and the total number of classes located in it and (3) the replaceability value of package designed by feature is more than the value of package designed by layer.From perspective of code replaceability,our empirical study also provides some suggestion for developers when they design a class or package.
关键词:class replaceability;package replaceability;coupling;class stereotype;package organized by feature;package organized by layer
摘要:Aiming at problems of large computation and poor real-time of scale invariant feature transform (SIFT) algorithm for image matching application in image matching,object recognition and other fields,a matching algorithm based on local binary patterns (LBP) and graph transformation matching (GTM) is proposed.Firstly,SIFT is used to extract initial feature points.13×13 pixel blocks around the feature points are used as the feature regions.Secondly,in order to reduce complexity of descriptors,the local rotation invariant binary patterns (LRIBP) descriptor is used to produce feature vectors of 29 dimensions for a feature region.Euclidean distance is adopted as measure criterion of the descriptors to fulfil initial match.Finally,GTM is adopted to eliminate mismatching points.Simulation results show that the proposed algorithm not only improves accuracy and robustness and real-time,but also reduces the amount of calculation.
摘要:A gain equalizer operating on Ku-band based on dual-mode square substrate integrated waveguide (SIW) resonators are designed according to miniaturization and high Q-factor.Two orthogonal coupling slots are designed to excite degenerate modes (TE201 and TE102) in a square cavity; two perturbation metal holes in the vertical direction are employed to perturb TE102 mode to tune resonant frequency easily for fitting a target curve.The positions of the film resistors loaded on cavity are investigated to realize attenuations and Q-factor of the dual-mode tuning independent.The frequency offsets and tune of the resonant of the dual-mode cavity after the two resonant cavities cascaded are analyzed.Analysis and design method of the proposed equalizer based on dual-mode resonators are presented.Compared with equalizer based on single mode resonators,the proposed equalizer keeps the original performance,and has smaller size for reducing by half the number cavities.The measured results and simulated results are matched well,and the maximum error is 0.4dB.
摘要:The strong electromagnetic mutual coupling effect of a compact uniform circular array (UCA) will severely degrade the performance of beamforming (BF) or direction-of-arrival (DoA) estimation.Based on the special circular symmetry of a UCA,a new efficient and robust calibration method is proposed for the mutual coupling effect.Only one single signal source and one trial are required to complete the calibration,and the direction of the signal source does not need to be calibrated beforehand.First in discrete Fourier transform (DFT) space,the mutual coupling matrix (MCM) is transformed to be a centrosymmetric vector.Then in a prior 2D spatial angular domain,limited angle searching is carried out to get the estimate of the parameters according to a novel objection function based on the symmetry.Comparative simulations verify the effectiveness and robustness of the new algorithm and at the same time reveal that method based on rank reduction (RARE) lacks robustness,and thus a simple and efficient approach for mutual coupling calibration is provided when UCA is applied in radar,mobile communication system etc.
关键词:array signal processing;direction of arrival estimation;array calibration;uniform circular array;electromagnetic mutual coupling;rank reduction
摘要:Aiming at the difficult in hardware realization of random measurement matrix,we construct a deterministic measurement matrix based on composite chaotic mapping.The composite chaotic mapping that based on Tent mapping and Logistic mapping,has stronger randomicity and initial value sensitivity.Sampled the composite chaotic mapping sequence with large distance,and then do linear transformation to the sampling sequence.Finally,we construct the measurement matrix with the linear transformation result.We prove that the measurement matrix elements have enough statistically independent,and the measurement matrix can satisfies restricted isometry property (RIP) with large probability.The simulation result shows that our matrix has the similar performance to Gaussian random matrix,and better than Toeplitz deterministic measurement matrix and Logistic deterministic measurement matrix.
摘要:At present,graphical similarity is limited to polygonal similarity,but the problem of general graphical similarity has not been studied.We first present protocols for privately determining whether two numbers,matrices or vectors are equal based on one-way hash function.Finally,we design protocols to privately determine whether two special graphics are isomorphic,and whether two graphics are similar.We prove the security of the protocols,implement them on a personal computer and analyze their efficiency.The simulation shows that the protocol of two similar graphics is 889 times as fast as the protocol of two similar polygons.Privately determining whether two graphs are similar is completely a new secure multiparty computation problem.It has application prospects in the field of the molecular biology,mechanical engineering and terrestrial matching,etc.
摘要:With the unprecedented development of radio frequency circuits,inductors as an important passive components in radio frequency circuit are applied more and more widely.Current inductor models have narrow application frequency range and simulation results are poor fit with measurement results.A modified scalable model for on-chip spiral inductors in 0.13 μm silicon-on-insulator (SOI) CMOS process is developed.The model is a π-circuit with a parallel RL network connecting both vertical branches to account for substrate coupling.It includes improvements in the evaluation of eddy currents in metals caused by the proximity effect.The regression analysis method of mathematical statistics is used to obtain the expressions of scalable model parameters.13 on-chip inductors with different geometries are fabricated for the verifications.The proposed approach can thus provide better circuit interpretations of the inductor behaviors for all considered geometries up to frequencies above self-resonance.
关键词:radio frequency (RF);inductor;modeling;scalable;topology
摘要:Considering that the delay tolerant character of VANETs(Vehicular Ad hoc NETworks),a packet dissemination strategy is introduced for duplicate controlling in VANETs of urban area.A packet transmission delay model of road is constructed based on Markov chain and vehicles distribution.The delay model is used to build the expected transmission delay of vehicles.And then the priority of vehicles is determined by the expected transmission delay and destination position.Current data carrier inserts decision segment of candidates into packets and select next hop vehicle by acknowledgement.Therefore,it is guaranteed that the vehicle with the highest priority can be selected as the next carrier.Furthermore,the paper deduces the ratio of quantities of received and transmitted packets.The ratio can be used to limit the unnecessary transmitting attempt,so as to inhibit duplicate packets.Simulation results demonstrate that the strategy achieves higher throughput and delay performance than the trajectory prediction based algorithms by limiting duplicate packets.
关键词:vehicular ad hoc networks;data duplicate;delay tolerant networks;packet dissemination;Markov chain
摘要:Registration technology can effectively integrate the prior knowledge of medical atlases into the segmentation process,and then combine with the efficient label fusion algorithm to obtain the segmentation results accurately and automatically.Aimed at the large error in registration of target image and its great influence on label fusion,a framework of probabilistic graphical model is established and the idea of multi-parameter registration model is proposed.Combined with an efficient algorithm on label fusion,this framework can improve the segmentation accuracy of specific tissue regions on target image,which has important application value in segmentation with a few available atlases.After the multi-parameter registration and the reconstruction process of training sets on target images,the final segmentation results are obtained by an efficient fusion algorithm.According to the experiment which was conducted on the brain magnetic resonance image segmentation with different segmentation methods,the proposed framework can effectively improve the accuracy of segmentation.
关键词:image segmentation;image registration;label fusion;multi-parameter registration model;brain magnetic resonance images
摘要:To enable prefect reconstruction of the magnitude and phase of the complex images in the coded diffraction imaging system,many coded diffraction patterns are required,which leads to time consuming of the sampling process.To reduce the number of coded diffraction patterns,a robust phase retrieval algorithm which exploits the statistical characteristic of the higher-order Markov random fields is proposed based on the nonlinear compressed sensing framework.The presented method regularizes the magnitude and phase separately,and combines the data fidelity term with the regularization terms of the magnitude and phase to formulate the cost function.Moreover,the heavy-ball algorithm is utilized for solving the corresponding non-convex optimization problem.Experimental results show that the proposed method can achieve high image quality with fewer coded diffraction patterns,and is robust to noise.
关键词:nonlinear compressed sensing;phase retrieval;higher-order Markov random fields;coded diffraction pattern
摘要:This paper presents a multi-scale low rank based method to implement cardiac MR(Magnetic Resonance) image reconstruction,which represented a data matrix as a sum of block-wise low rank matrices with increasing scales of block sizes.And the sum of block-wise low rank matrices was used as a constraint to approach the MR image reconstruction.Two different cardiac MR datasets were used to evaluate the performance of the proposed method.Compared with the state-of-art methods,such as the k-t SLR(k-t Sparsity Low Rank) method and L+S (Low rank plus Sparse) method,the proposed MSL method can offer improved reconstruction solution in terms of higher signal to error ratio and better structural similarity index,but with longer reconstruction time.
关键词:magnetic resonance imaging reconstruction;multi-scale low rank method;signal to error ratio
摘要:The azimuth time-varying Doppler frequency,caused by the complex movement of maneuvering target,deteriorates the azimuth focusing quality.Conventional Range-Doppler (RD) imaging algorithm,Wigner-Ville distribution (WVD) imaging algorithm and Radon-Wigner imaging algorithm,due to Poor image quality and inefficient operation and so on,are unfit for ISAR imaging of the complex motion target.To solve these problems,a novel ISAR imaging method based on coherent integration cubic phase function (CPF) for maneuvering target is proposed in the letter.First,the echo data in a range bin after translational compensation are transformed into the time-chirp rate plane via CPF.Then,the auto-terms energy can be coherently integrated in the time-chirp rate distribution plane and can effectively suppress the troublesome cross-term interference and spurious peaks,and then obtain the distribution of the scatter energy in frequency-chirp rate plane.Finally,the azimuth ISAR image can be obtained via a simple maximization projection from the two-dimensional accumulated plot to the azimuth dimension,and the non-uniform fast Fourier transform (NUFFT) is also adopted to reduce the computing complexity.Computer simulation results verify the effectiveness of the proposed method.
关键词:inverse synthetic aperture radar (ISAR);maneuvering target;modified cubic phase function (MCPF);non-uniform fast Fourier transform (NUFFT)
摘要:Aiming at the problems that the former recognition algorithms for STBC-OFDM (Space-Time Block Code with Orthogonal Frequency Division Multiplexing) need too many received symbols,sensitive to frequency offset and not suitable for single received antenna,a method based on the fourth order lag product(FOLP) is proposed.According to the correlation between received STBC symbols,the FOLP of received signals is deduced,and a peak test algorithm is proposed to identify the STBCs.Unlike other methods,this algorithm does not require any prior information of channel coefficients,noise information,modulation type and start of OFDM block and,is well-suited for single received antenna context.The proposed method provides a good performance with low sensitivity to impairments in the received signals,such as time offset,phase noise and frequency offset.It can be applied in cognitive radio systems,spectrum surveillance,and so on.
关键词:blind signal recognition;space-time block code(STBC);orthogonal frequency division multiplexing(OFDM);fourth order lag product(FOLP);signal processing;cognitive radios
摘要:Dynamic pushdown networks (DPN) consist of a group of dynamic pushdown systems (DPNS).And each DPNS model can dynamically demonstrate as new threads.Firstly,this paper introduces the real numeric clock to DPN to verify the real-time concurrent recursive system created by dynamic threads,and demonstrate it as time dynamic pushdown networks (TDPN).Secondly,this paper uses the clock equivalent optimization technique based on time key to convert a continuous TDPN models into a series of discrete TDPN models.Besides,this paper proposes the equivalence algorithm of TDPN into DPN.At last,we prove the status in TDPN is reachable if and only if its transition status in DPN is reachable.At the same time,this paper solves reachability problem of the real-time concurrent system created by dynamic threads.
摘要:Power analysis is one of the most effective techniques in side channel analysis.This technique utilizes the power consumption that are relative to the intermediate state of cryptographic algorithm to recover the secret information in the cryptographic devices.Differential power analysis is the first method of power analysis and it is one of the most fundamental analysis techniques.However,in practical scenario,the efficiency of differential power analysis is largely affected by the noise of power traces.Consequently,this leads to the low efficiency of differential power analysis and it is hard to recover the secret key.To address this issue,a new method that is based on singular value decomposition to select power traces is proposed.The power traces of high quality can be selected when this method is applied to improve the efficiency of differential power analysis.The experiments verify the validity of the method.Further,the experimental results show that our method is much better compared with the existing method.Using the method of this paper only 124 power traces is needed to achieve the success rate of 80%,while the normal differential power analysis needs 490 power traces.In addition,when analyzing the data of DPA Contest V1,using the method of this paper only 53 power traces is needed to achieve the success rate of 80%,while the normal differential power analysis needs 195 power traces.Two experiments on different subjects verify the effectiveness of our method.
关键词:differential power analysis;selecting power traces;singular value decomposition
摘要:Due to having many NOPs,VLIW(Very Long Instruction Word) exists serious code size expansion problem.As an efficient way to solve this problem,the code compression needs to deal with three key points:improving the compression ratio (CR),simplifying decomposition operations,and relocating the branch target.According to the characteristics of VLIW on stream architecture,a two-dimension(2-D) compression scheme is put forward,where VLIW code is compressed in both vertical and horizontal directions,the horizontal decompression and code execution can be implemented in parallel,and loop entrance addresses are buffered by stack registers.The experiment results illustrate that 2-D compression scheme can resolve code expansion issue effectively.Specifically,it has achieved a 36.48% area reduction of the on-chip instruction memory and a 7.85% area reduction of the CISP system.
摘要:Nowadays,due to the lack of appropriate 3D SICs (3D Stacked Integrated Circuits) cost estimation methods under the impact of the multiple bonding,and the generally neglect of the discarding costs in test process production,the existing test methods can not be well applied in the actual production.Based on the feature of mid-bond test,this paper proposed a 3D SICs theoretical total cost model,by synergistically considering the bonding rate and discarding cost,further,a 3D SICs optimal bonding order algorithm is proposed.Finally,the paper also puts forward a method to optimize the mid-bonding test times.This method can achieve "multiple bondings but plus one test" by replacing the traditional "one bonding and plus one test" method.Experimental results show that the cost of the proposed model is closer to the actual production.Optimal bonding order and Optimized mid-bonding test times can be effective to guide the 3D chip manufacturing.
关键词:discarding cost;cost model;stacking order;mid-bond test;test times optimization
摘要:The traditional robust principal component analysis (RPCA)model is able to solve the video foreground detection problem well.However,if the basic assumptions are violated,this model will have poor performance.This paper proposes a low rank and reweighted sparse decomposition model,where the foreground matrix is reweighted so as to enhance its sparsity.When the weighting matrix is established,the optical flow method is used to get the motion vectors in each frame in order that the real moving areas can be recognized.Afterwards,based on the newly proposed model,an enhanced decomposition model is also developed.Since the weighting matrix is applied to both the observation matrix and the background matrix,the enhanced model is able to prevent the foreground and the background from being wrongly separated.Experimental results show that the proposed algorithm can efficiently separate foreground and background components for video clips with or without noises.
摘要:Since the dynamic gesture recognition algorithm is influenced by rotation,translation and scaling,and real-time gesture recognition is still a challenging issue,we propose a dynamic gesture recognition algorithm which is based on the combination of gesture binary descriptor and Hausdorff-like distance template matching.Firstly,we converted the segmented gesture image to the standardized image,then calculated the main direction of gesture in the image,and built a 2D rectangular coordinate system to extract the gesture features.Secondly,the specific dynamic gesture type can be identified according to changes in the amount of gesture pixel points from the top five frames.Next,we used gesture binary descriptor to select a part of gesture from the specific dynamic gesture type.Finally,the method of Hausdorff-like distance template matching is used to recognize the final gesture.The main innovation of this paper embodies in two aspects.Firstly,the dynamic gesture type recognition and the method of gestures binary descriptor matching proposed in this paper greatly shorten the time cost of dynamic gesture recognition.Secondly,Hausdorff-like distance method with the main direction of gesture not only has the in-variance on rotation,translation and scaling gestures,but also has a higher recognition rate on smaller gestures.Experimental results show that this algorithm can achieve real-time correct recognition of gestures in relatively stable light conditions.The overall recognition rate can reach 95%,the recognition rate of scal-ing gestures is more than 92% and the recognition rate of rotation gestures is more than 87%.This algorithm has been applied in a human-computer interface system based on hand gesture.
关键词:dynamic gesture recognition;the main direction of gesture;dynamic gesture type recognition;gesture binary descriptor;Hausdorff-like distance
摘要:A high bandwidth signal modulation method is proposed for fast response detector signal acquisition.Several PIN photoelectron detectors are analyzed as an example of fast response detector.According to the analysis results,a signal modulation framework is given,and an experimental circuit is designed and implemented according to the modulation method.A typical signal which has 50ns pulse width and 20nA~0.1mA current is tested using this circuit.PMT9215B is tested under the same condition as a comparison.Experimental result shows that the designed circuit has a very good response to a 40ns width signal,and the impulse response has a lead edge about 10ns.The signal bandwidth of the designed circuit is about 35MHz.A 2-dimensional array detector with 4×32 PIN diodes is designed using the proposed technique.The system has a dynamical range of 56dB,and good response to fast light signal which proves the correctness and practice of the signal modulation method.
关键词:micro current signal;PIN photo-electron detector;signal modulation;high bandwidth;high gain
摘要:We study DOA(Direction Of Arrival) estimation of the independent and coherent signals with arrays of electromagnetic vector sensors.With a gating vector to select the target signal and isolate other signals,an independent signal parameter in multi-signals is estimated from multi-cumulant matrices,while other signals are suppressed.The inner product of electric and magnetic steering vectors is zero for perpendicular,which is used to filter all the independent signals in the fourth-order cumulants of the observed data.So only the coherent signals exist in the signal subspace of the cumulant matrices.The performance of multi-signals parameters estimation is improved by the separation of independent and coherent signals.Due to the suppression of any direction and number of independent interference,this algorithm has the ability to resist saturation interference and can be used as a tool for electronic warfare.The simulation experiment shows the method is stable and effective.
关键词:electromagnetic vector sensor;state of polarization;DOA(Direction Of Arrival);coherent signal
摘要:A blind equalization approach called l0-norm constraint fractionally spaced sparse adaptive dual-mode algorithm is proposed for multiple phase shift keying (MPSK) signal in deep fading sparse multipath channels.Based on the traditional fractionally spaced dual-mode blind equalization algorithm,and motivated by the sparse adaptive filter theory,a fractionally spaced dual-mode least mean square error cost function with the l0-norm penalty on the equalizer tap coefficients is constructed.Then,the update formula of the tap coefficients is derived according to the gradient descent method.Moreover,the iteration step is updated adaptively by drawing upon the normalized proportionate factor.Theoretical analysis and simulation results show that compared with the sparse blind equalization algorithm based on the threshold,the blind equalization algorithm based on the fractional order norm and the fractionally spaced dual-mode blind equalization algorithm,the proposed algorithm has advantages in increasing the convergence rate and decreasing the residual inter-symbol interference.The presented blind equalization algorithm provides a fast and effective method for receivers to recover transmitted signals in underwater acoustic communication systems.
摘要:For heterogeneous cellular network based on energy harvesting,due to randomness of the energy and channel state,the applicability of the offline power allocation algorithm can only obtain the theoretical optimal value,therefore,an online power allocation algorithm is proposed.Base station controller uses energy checking algorithm to choose the small base station,which satisfies the activation condition at the beginning of each time slot for the proposed algorithm.Then,a two layer iterative (TLI) algorithm based on the Lagrange multiplier method is proposed to maximize the system energy efficiency of the chosen small base stations practically in each time slot.Simulation results show that the proposed algorithm can provide high energy efficiency for dense heterogeneous networks when the activation condition of the small base station is satisfied.The proposed algorithm is suitable for the network with unpredictability of the channel state information and energy state information.