Performance analysis of ICA algorithm for Blind Source Separation
Author:
Affiliation:
1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9782157/9782158/09782254.pdf?arnumber=9782254
Reference10 articles.
1. Non-negative matrix factorization for speech/music separation using source dependent decomposition rank, temporal continuity term and filtering
2. Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy
3. FPGA implementation of the ICA algorithm using multiplexing
4. A dual fast NLMS adaptive filtering algorithm for blind speech quality enhancement
5. FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling
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2. High Performance FPGA Implementation of Single MAC Adaptive Filter for Independent Component Analysis;Journal of Circuits, Systems and Computers;2023-05-23
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