NUST Institutions Library Catalogue

Adaptive blind signal and image processing : (E-Book) learning algorithms and applications Andrzej Cichocki, Shun-Ichi Amari

By: Cichocki, AndrzejContributor(s): Amari, Shun-ichiPublisher: Chichester : Wiley, cop. 2002Description: xxxi, 554 s. : ill. + 1 CD-ROMISBN: 0-471-60791-6 ;Subject(s): Adaptive signal processing | Algorithms | Algorithms | Algoritmer | Machine learning | Signal processing | Signal processing | Signalbehandling | E-BookDDC classification: 621.3822
Contents:
Introduction To Blind Signal Processing: Problems And Applications. Solving A System Of Algebraic Equations And Related Problems. Principal/Minor Component Analysis And Related Problems. Blind Decorrelation And SOS For Robust Blind Indentification. Sequential Blind Signal Extraction. Natural Gradient Approach To Independent Component Analysis Robust Techniques For BSS And ICA With Noisy Data. Locally Adaptive Algorithsm For ICA And Their Implementations. Multichannel Blind Deconvolution -Natural Gradient Approach. Estimating Functions And Superefficiency For ICA And Deconvolution Blind Filtering And Separation Using State-Space Approach. Nonlinear State Space Models -Semi-Blind Signal Processing.
Summary: This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, independent, principal and minor component analysis, and multichannel blind deconvolution (MBD) and equalization
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Home library Collection Call number URL Status Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
NFIC Link to resource Available MCSEB-463
Total holds: 0

Introduction To Blind Signal Processing: Problems And Applications. Solving A System Of Algebraic Equations And Related Problems. Principal/Minor Component Analysis And Related Problems. Blind Decorrelation And SOS For Robust Blind Indentification. Sequential Blind Signal Extraction. Natural Gradient Approach To Independent Component Analysis Robust Techniques For BSS And ICA With Noisy Data. Locally Adaptive Algorithsm For ICA And Their Implementations. Multichannel Blind Deconvolution -Natural Gradient Approach. Estimating Functions And Superefficiency For ICA And Deconvolution Blind Filtering And Separation Using State-Space Approach. Nonlinear State Space Models -Semi-Blind Signal Processing.

This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, independent, principal and minor component analysis, and multichannel blind deconvolution (MBD) and equalization

There are no comments on this title.

to post a comment.
© 2023 Central Library, National University of Sciences and Technology. All Rights Reserved.