最新刊期
卷 ， 期 10 ， 1993
- 摘要：On the basis of the periphery auditory model and partial central auditory neural processing model set up in [1] a speech recognizer using an auditory model as the acoustic front-end preprocessor and a tonotopical organized neural network as the recognition classifier have been built.The experiments show that the parameters derived from the auditory model are a good representation of speech discrimination,especially in noisy environments.The results of speech recognition show that under the condition of 3dB background noise with the same neural network as the classifier,the recognition rate of 3 confusable consonants（p,t,k）is 80.3% for auditory model as the front-end processor and 69.2% for LPC-derived cepstrum as speech parameters ,respectively.关键词：auditory model;speech recognition;neural network2|142|7更新时间：2025-12-08
- 摘要：From the view of fractal information theory,the multifractal has been introduced,and the multifractal dimension spectrum function based on the fractal entropy has been investigated.The usual fractal dimensions familiar to all us will be united by the multifractal dimension spectrum.Finally,the applications of the multifractal and its dimension spectrum will be discussed.关键词：Multifractal;Fractal entropy;Multifractal dimension spectrum2|273|1更新时间：2025-12-08
- 摘要：In this paper; （1）By introducing affine transformation,a direct method based on geometrical moments is presented for edge detection in anisotropic image data.The moments are calculated using the masks of square window in a related isotropic image.And the formulae of edge parameters are deduced.（2） By implying linear interpolation within moments calculation,the operator is improved.A set of non-square masks corresponding to square window are obtained,thus avoiding the time consuming pre-interpolation of image data.（3）Some experiment results about the presented methods are given..关键词：Moment;edge detection;image processing2|19|0更新时间：2025-12-08
- 摘要：A narrow-band processing method for wide-band adaptive communication antenna arrays——frequency constraint method is introduced in this paper.The structure of a wide adaptive antenna array used in this method is also presented.Based on this method,each narrow-band signal in a very wide frequency band.for example.in SW band.can be adaptively processed,so that any strong interference coming from different sources of transmission can be effectively rejected.Its structure is very simple and its computation is very efficient.The experiment results in some computer simulations are also shown.关键词：Adaptive antenna;communication;Frequency constraint;Narrow-band processing2|42|0更新时间：2025-12-08
- 摘要：In this paper the necessary network environment for Super Intelligent Visual/Audio Information Processing System（SIVAIPS）is proposed.The system network structure is given and the design idea as well as implementation method for SIVAIPS network environment on the basis of Ethernet are expounded and finally the network environment of SIVAIPS is implemented in a connected system including voice,image,graphics.text information processing workstations and a multimedia database management workstation.关键词：Visual/audio information processing;Network environment;multimedia2|28|4更新时间：2025-12-08
- 摘要：This paper discusses the despread of low signal to noise ratio of the direct sequence （DS）spread spectrum signals using intermediate-frequency recirculation summation loop （IFRSL）.Fundamental principles of IFRSL and some problems in the loop design are described.Finally,experimental results are shown for signals through the satellite channel.关键词：Spread spectrum communication;Correlator;Recirculation;Summation2|49|4更新时间：2025-12-08
- 摘要：A distributed multi-channel self-organizing algorithm is first proposed.Next,a MCSON-II prototype system of a multi-channel self-organizing packet radio network with eight nodes using the algorithm is reported.Finally the system performance is evaluated by simulation.关键词：self-organizing algorithm;Packet radio network;Prototype system;Perfomance2|62|11更新时间：2025-12-08
- 摘要：In this paper,the multitone trellis coded modulation（MT-TCM）and the interleaved MT-TCM.which don’t decrease the processing gain of spread spectrum systems,are suggested to improve FH/SSMA system performance.Assuming that the total hopping bandwidth,the hopping rate and symbol rate are all fixed,performance analyses are given when combined effects of additive white Gaussian noise,partialband jamming and multi-user interference are considered.Then,the performance of the proposed system is evaluated numerically by using the derived closed form expressions and compared with that of convolutional coded systems.关键词：TCM;spread spectrum communications;Multiple-access communications2|45|0更新时间：2025-12-08
- 摘要：In this paper a new method of large step fast acquisition of delay locked loop（DLL） is proposed.The purpose is to solve the fast acquisition problem of the low S/N long period PN code that has not yet been solved.The principle and realization of the large step fast acquisition DLL are discussed.The average acquisition time of the loop,the output ingredients of the despread correlator,and the false alarm probability and probability of detection under the condition of large step fast acquisition are analysed.关键词：Delay phase-lock loop capture;Pseudo-random code capture2|104|3更新时间：2025-12-08
- 摘要：This paper presents a neural network scheme to implement the maximum likelihood bearing estimation algorithm and"propagator"mathod.We show both analytically and by simulations that this scheme can be guaranteed to provide the bearing estimation in real time with satisfactory performance.关键词：neural networks;Bearing estimation;maximum likelihood3|45|5更新时间：2025-12-08
- 摘要：This paper proposes an approach for estimating wavelength and azimuth of multiple narrow band sources over a wide range of frequency.Array signal model is constructured and ML estimator with its global optimization algorithm is presented.Simulation results show that the proposed algorithm is valid.关键词：最大似然估计;宽频段阵列信号模型;信号频率;空间方向矩阵;联合估计;,全局优化算法;测向2|37|1更新时间：2025-12-08
- 摘要：In this paper,the problems of asymptotical stability and associative memory for Hopfield type neural networks are analyzed by introducing a new kind of energy function.Four theorems are derived.These four theorems can be used to guarantee the network equilibria to be asymptotical stable equilibria and can be used to design associative memory neural networks.We give one design example to demonstrate the effectiveness of our theorems.关键词：neural network;associative memory;stability2|71|1更新时间：2025-12-08
- 摘要：This paper introduces the problem on hardware implementation of two kinds of two-key scheme with prospect of wide usage,one of which is based on logrithm modulo N,the other is based on the arithmetics in GF（2m）.关键词：Crypotology;Two-key scheme;authentication;hardware2|20|1更新时间：2025-12-08
- 摘要：The exploration of a real method to analyze non-stationary signals and devising a time-frequency representation of signals have steadily developed over the last 40years,and there have recently been significant advance.Moreover,combined with the.wavelet theory,it has initially been developed into a unifying framework,called as the generalized time-frequency representation（GTFR）,which includes the most important distributions.This paper reviews the GTFR and describes the potential of its wide applications by taking some examples of speech analysis.关键词：Time-frequercy representation;Signal analysis;Non-stationary signal analysis2|140|2更新时间：2025-12-08
- 摘要：This paper introduces a Hopfield neural network whose state space is a real space instead of a binary space.The network can be used to solve optimization problem in complex space.The network is applied to FBLP array processing in order to compute FBLP array processing effectively.Simulation results are given for showing the effectiveness of the network.关键词：array processing;Forward and backward linear prediction （FBLP）;neural network;optimization method2|21|1更新时间：2025-12-08
- 摘要：In this paper,through the analyses of the eigenvalues and the subspaces of the connection matrices,the identity of two neural networks,which are constructed by two different energy functions,are analyzed.The parameter rules are also given.关键词：neural network;TSP2|49|0更新时间：2025-12-08
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