A complete, one stop reference on the state of the art of unsupervised adaptive filtering
While unsupervised adaptive filtering has its roots in the 1960s, more recent advances in signal processing, information theory, imaging, and remote sensing have made this a hot area for research in several diverse fields.
Taal / Language : English
Introduction (S. Haykin).
The Core of FSE CMA Behavior Theory (C. Johnson, et al.).
Relationships between Blind Deconvolution and Blind Source Separation (S. Douglas & S. Haykin).
Blind Separation of Independent Sources Based on Multiuser Kurtosis Optimization Criteria (C. Papadias).
Levertijd: 5 tot 11 werkdagen
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