Novel underdetermined blind source separation algorithm based on compressed sensing and K-SVD
Author:
Affiliation:
1. College of Information and Communication Engineering; Harbin Engineering University; Harbin China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/ett.3427/fullpdf
Reference23 articles.
1. Blind identification of the underdetermined mixing matrix based on K-weighted hyperline clustering;Yang;Neurocomputing,2015
2. A time-frequency domain underdetermined blind source separation algorithm for MIMO radar signals;Guo;Symmetry,2017
3. Improving DOA estimation algorithms using high-resolution quadratic time-frequency distributions;Ouelha;IEEE Trans Signal Process,2017
4. Underdetermined blind source separation using sparse representations;Bofill;Signal Processing,2001
5. Underdetermined blind source separation based on subspace representation;Kim;IEEE Trans Signal Process,2009
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2. Underdetermined Blind Source Separation Method for Speech Signals Based on SOM-DPC and Compressed Sensing;Journal of Advanced Computational Intelligence and Intelligent Informatics;2023-03-20
3. A Density Based Clustering Approach to Underdetermined Blind Source Separation;2021 China Automation Congress (CAC);2021-10-22
4. Self-learning based image decomposition for blind periodic noise estimation: a dual-domain optimization approach;Multidimensional Systems and Signal Processing;2020-09-25
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