Posted by **interes** at April 24, 2015

English | 2015 | ISBN: 366245663X | 193 pages | PDF | 7,7 MB

Posted by **AvaxGenius** at Feb. 14, 2017

English | PDF,EPUB | 2017 | 201 Pages | ISBN : 331942209X | 11.90 MB

This book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone array. Spherical microphone arrays can be used to capture the sound field in three dimensions and have received significant interest from researchers and audio engineers.

Posted by **Willson** at Dec. 14, 2016

English | 2005 | ISBN: 0071444742, 0070607370 | 513 pages | PDF | 24.6 MB

Posted by **fdts** at Dec. 6, 2016

by Steven M. Kay

English | 2013 | ISBN: 013280803X | 496 pages | EPUB | 41.25 MB

Posted by **libr** at April 16, 2015

English | 2014 | ISBN: 3319028065 | 704 pages | PDF | 8 MB

Posted by **manamba13** at March 4, 2015

English | 1993 | ISBN: 0130724106 | 595 Pages | PDF | 18 MB

This text provides a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms, which covers important approaches to obtaining an optimal estimator and analyzing its performance.

Posted by **interes** at Feb. 17, 2015

English | 2014 | ISBN: 3319028065 | 704 pages | PDF | 8 MB

Posted by **tanas.olesya** at Jan. 14, 2015

English | Oct 3, 1988 | ISBN: 0133361659 | 590 Pages | PDF/DJVU | 44/7 MB

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing.

Posted by **exLib** at Dec. 1, 2014

CenLea | 2012 | ISBN: 084006909X 9780840069092 | 788 pages | PDF | 20 MB

This book focuses on the fundamentals of digital signal processing with an emphasis on practical applications.

Posted by **tanas.olesya** at Nov. 28, 2014

English | April 5, 1993 | ISBN: 0133457117 | 595 pages | PDF | 15 MB

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems.