Blind Signal Processing Theory (13 results)

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Soft cover. Condition: New. Language:English.Author:SHI XI ZHI.Binding:Soft cover.Publisher:Shanghai Jiaotong University Press Pub. Date :2011.

Condition: New. In English.

Rilegato in Tela. Condition: fine. Heidelberg, 2010; clothbound, pp. 368, cm 16x24. Libro.

Condition: New. pp. xiv + 368 2012th edition.

Hardcover. Condition: Brand New. 2012 edition. 300 pages. 9.50x6.50x1.00 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Blind Signal Processing: Theory and Practice' not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, results from a study conducted at Shanghai Jiao Tong University in the areas of speech signal processing, underwater signals, image feature extraction, data compression, and the like are discussed.This book will be of particular interest to advanced undergraduate students, graduate students, university instructors and research scientists in related disciplines. Xizhi Shi is a Professor at Shanghai Jiao Tong University. …

Hardcover. Condition: New. Language:Chinese.Hardcover. Publisher: Shanghai Jiaotong.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-04-01 Pages: 731 Language: Chinese Publisher: National Defense Industry Press blind signal processing in communication theory and technology (Set 2 Volumes) a comprehensive introduction to the classic blind signal processing technology infrastructure . as well as blind the latest theory and signal processing technologies . including: blind SNR estimation and blind channel equalization . blind signal parameter analysis . systems analysis and network analysis blind sig.Four Satisfaction guaranteed,or money back.…

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 319 Language: Chinese in Publisher: Science Press blind signal processing theory and application on the basis of years of research on blind source separation theory and its application in the relevant field elaboration. pay attention to the combination of theory and practice. provide examples and simulation results to help readers' understanding of the theory of blind signal processing; same time. pay attention to the introduction of cutting-edge technology in the field of blind signal processing enables readers to understand the field the latest developments and trends. Britannica main contents include: Blind signal separation and independent component analysis of the basic concepts and theory. stochastic processes and information theory. blind separation and blind deconvolution method. speech signal blind separation of a real environment. image and video based on independent component analysis digital watermark. the space-time wireless communication system blind detection and blind signal separation methods in biomedical signal processing applications. Blind signal processing theory and application of scientific and technical personnel engaged in the study of signal processing available reference can also be an important reference book as institutions of higher learning communication. electronics. information. automation. and biomedical engineering professional teachers and graduate study blind signal processing theory . Contents: Preface Chapter 1 blind signal processing infrastructure 1.1 Overview 1.1.1 Background and status quo at home and abroad the 1.1.2 book 1.2 blind source separation problem description and mathematical model 1.2.1 blind source separation and blind deconvolution system mathematical the model 1.2.2 blind identification uncertainty and identifiability 1.3 blind signal processing mathematical foundation 1.3.1 random process foundation 1.3.2 Information theoretical foundation 1.3.3 used in blind signal processing optimization method References Chapter 2 blind source separation method 2.1 2.1.1 Overview 2.1.2 Mutual cumulative amount criterion 2.1.3 diagonal cumulants guidelines and algorithms 2.1.4 based on the cumulative amount of unconstrained algorithm of blind source separation method based on higher order statistics 2.1.5 based on a simple go redundant source signal extraction method individually 2.2 blind source separation methods based on information theory 2.2.1 Overview 2.2.3 minimum criteria based on information redundancy and algorithm 2.2.4 2.2.2 based on negative entropy minimum mutual information criterion and algorithm nonlinear blind source separation method based on multivariate density estimates 2.3 the aliasing blind signal separation 2.3.1 Introduction 2.3.2 Separability and solutions not only 2.3.3 multilayer perceptron-based information and reference to the propagation algorithm Chapter 3 real environmental voice signal blind separation of 3.1 with noise aliasing speech signal blind separation 3.1.1 based on wavelet transform and ICA Noisy speech signal aliasing blind separation 3.1.2 sparse coding and ICA-based blind Noisy Speech Signal ICA-based microphone voice signal separation of 3.2 based on microphone array to enhance the spatial coherence of the noise field method 3.2.1 microphone array structure 3.2.2 microphone array speech processing technology 3.2.3 3.2.4 classic microphone array speech enhancement method 3.2.5 array speech enhancement system 3.2.6 computer simulation and performance analysis 3.3 voice signal aliasing blind separation 3.3.1 system model and estimated mixing matrix priori assumptions 3.3.2 System Block Diagram 3.3.3 3.3.4 source signal due to the given situation estimated the 3.3.5 computer simulation and performance analysis of the speech signal blind separation 3.4 Convolution aliasing 3.4.1 Overview 3.4.2 the observed.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Blindequalization is a digital signal processing technique in which thetransmitted signal is inferred (equalized) from the received signalwhile making use only of the transmitted signal statistics. Hence, theuse of the word blind in the name. Blind equalization is essentiallyblind deconvolution applied to digital communications. Nonetheless, theemphasis in blind equalization is on online estimation of the equalizerfilter, which is the inverse of the channel impulse response, ratherthan the estimation of the channel impulse response itself. This is dueto blind deconvolution common mode of usage in digital communicationssystems, as a mean to extract the continuously transmitted signal fromthe received signal, with the channel impulse response being ofsecondary intrinsic importance. The estimated equalizer is thenconvolved with the received signal to yield an estimation of thetransmitted signal.…

Condition: New. Print on Demand pp. xiv + 368 139 Illus.

Condition: New. PRINT ON DEMAND pp. xiv + 368.