Blind signal processing is attractive in the community of signal processing.Blind source separation and Blind deconvolution are main components in blind signal processing and advances have been developed in recent years.We introduce the basic model of blind source separation and blind deconvolution
the mathematical principle of them
and the latest progresses in research.We then analyze the characteristic of typical algorithms and point out the future development.
A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images
Algorithm to Eliminate Permutation of Frequency Domain Blind Source Separation Based on Influence Factor
Blind Recovery of Mixing Matrix with Sparse Sources Based on Improved K-means Clustering and Hough Transform
Applications of Independent Sub-Band Functions and Wavelet Analysis in Single-Channel Noisy Signal BSS:Model and Crucial Technique
Variable Step-Size Blind Source Separation Algorithm with an Auxiliary Separation System
Related Author
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HU Lei
GU Yan-feng
LI Bo
JI Yan
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FAN Xiao-teng
Related Institution
哈尔滨工业大学电信学院
北京遥感信息研究所
1.北京航空航天大学计算机学院
National Key Laboratory of Science & Technology on Electronic Test & Measurement The 41st Research Institute of China Electronics Technology Group Corporation Qingdao Shandong China
School of Electrical Engineering and Automation Hefei University of Technology Hefei Anhui China