Blind Source Separation in Perspective of ICA Algorithms: A Review-Reference-Cited by-同舟云学术

Blind Source Separation in Perspective of ICA Algorithms: A Review

Published:2022-05-20 Issue: Volume: Page:
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Container-title:2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
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Author:

Agrawal Jharna¹,Gupta Manish¹,Garg Hitendra²

Affiliation:

1. GLA University,Electronics & Communication Engineering,Mathura,India

2. GLA University,Computer Engineering & Application,Mathura,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9844268/9844270/09844373.pdf?arnumber=9844373

Reference36 articles.

1. ADVANCES IN BLIND SOURCE SEPARATION (BSS) AND INDEPENDENT COMPONENT ANALYSIS (ICA) FOR NONLINEAR MIXTURES

2. Comparison between FastICA and InfoMax for the blind separation of audio signals

3. A comparison of SOBI, FastICA, JADE and Infomax algorithms;sahonero-alvarez;Proceedings of the 8th International Multi-Conference on Complexity Informatics and Cybernetics,2017

4. A Comparative Study of Blind Source Separation for Bioacoustics Sounds based on FastICA, PCA and NMF

5. A Utility of Ridge Contour Points in Minutiae-Based Fingerprint Matching

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4. A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning;IEEE Access;2023