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A comprehensive and authoritative treatment of adaptive blind signal and image processing techniques, offering detailed theory and practical algorithms for blind source separation, independent/principal/minor component analysis, multichannel blind deconvolution, equalization, and adaptive filtering. The book addresses multi‑input/multi‑output and multisensory systems mathematics, presents numerous learning methods (online adaptive nonlinear algorithms), and includes applications for signal and image separation, decomposition and filtering — making it a foundational resource for researchers, engineers, and graduate students working in communications, biomedical engineering, neural networks, and data analytics.

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245: $a: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
245: $b:
082: $a:
100: $a: Andrzej Cichocki & Shun‑ichi Amari
650: $a: Signal Processing
250: $a:
440: $v:
250: $b: John Wiley & Sons, Ltd.
250: $c: 2002
020: $a: Andrzej Cichocki; Shun‑ichi Amari
300: $a: 586