Convergence Analyses and New Algorithms in Blind Equalization/identification

Convergence Analyses and New Algorithms in Blind Equalization/identification
Author :
Publisher :
Total Pages : 194
Release :
ISBN-10 : OCLC:41940292
ISBN-13 :
Rating : 4/5 (92 Downloads)

Book Synopsis Convergence Analyses and New Algorithms in Blind Equalization/identification by : Guangrong Yan

Download or read book Convergence Analyses and New Algorithms in Blind Equalization/identification written by Guangrong Yan and published by . This book was released on 1999 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Convergence Analyses and New Algorithms in Blind Equalization/identification Related Books

Convergence Analyses and New Algorithms in Blind Equalization/identification
Language: en
Pages: 194
Authors: Guangrong Yan
Categories:
Type: BOOK - Published: 1999 - Publisher:

DOWNLOAD EBOOK

Blind Equalization and Identification
Language: en
Pages: 418
Authors: Zhi Ding
Categories: Technology & Engineering
Type: BOOK - Published: 2018-10-08 - Publisher: CRC Press

DOWNLOAD EBOOK

This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions a
Blind Equalization and System Identification
Language: en
Pages: 479
Authors: Chong-Yung Chi
Categories: Technology & Engineering
Type: BOOK - Published: 2006-05-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been
New Algorithms and Analysis for Blind Adaptive Equalization
Language: en
Pages: 514
Authors: Vijitha Weerackody
Categories:
Type: BOOK - Published: 1989 - Publisher:

DOWNLOAD EBOOK

Signal Prediction with Input Identification
Language: en
Pages: 36
Authors: Jer-Nan Juang
Categories: Data compression (Computer science)
Type: BOOK - Published: 1999 - Publisher:

DOWNLOAD EBOOK

A novel coding technique is presented for signal prediction with applications including speech coding, system identification, and estimation of input excitation