carnevalemanfredonia.it
» » Advanced Concepts in Adaptive Signal Processing (The Springer International Series in Engineering and Computer Science)

eBook Advanced Concepts in Adaptive Signal Processing (The Springer International Series in Engineering and Computer Science) download

by W. Kenneth Jenkins,Andrew W. Hull,Jeffrey C. Strait,Bernard A. Schnaufer,Xiaohui Li

eBook Advanced Concepts in Adaptive Signal Processing (The Springer International Series in Engineering and Computer Science) download ISBN: 0792397401
Author: W. Kenneth Jenkins,Andrew W. Hull,Jeffrey C. Strait,Bernard A. Schnaufer,Xiaohui Li
Publisher: Springer; 1996 edition (June 30, 1996)
Language: English
Pages: 307
ePub: 1223 kb
Fb2: 1364 kb
Rating: 4.7
Other formats: lrf lrf doc mobi
Category: Engineering
Subcategory: Engineering

Kenneth Jenkins, Andrew W. Hull, Jeffrey C. Strait, Bernard A. Schnaufer, Xiaohui Li. Pages 1-51. Since 1984 many new books have been published on adaptive signal processing, which serve to define what we will refer to throughout this book as conventional adaptive signal processing.

The Springer International Series in Engineering and Computer .

The Springer International Series in Engineering and Computer Science.

Электронная книга "Advanced Concepts in Adaptive Signal Processing", W. Kenneth Jenkins, Andrew W. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройств. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Advanced Concepts in Adaptive Signal Processing" для чтения в офлайн-режиме.

Kenneth Jenkins, Andrew W. Strait.

Описание: Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance in communication systems. The first two parts of the book deal with ASP and ISP respectively, each in the context of receiver design over intersymbol interference (ISI) channels.

oceedings{I, title {Advanced Concepts in Adaptive Signal Processing}, author {W

oceedings{I, title {Advanced Concepts in Adaptive Signal Processing}, author {W. Kenneth Jenkins and Andrew W. Hull and Jeffrey C. Strait and Bernard A. Schnaufer and Xiaohui Li}, year {1996} }. W. Hull, +2 authors Xiaohui Li. Preface. 1: Introduction and Background. Common Adaptive Concepts from Different Disciplines. Generic Applications of Adaptive Methods. Performance Measures in Adaptive Systems. The Minimum Mean Squared Error Solution. Adaptive Algorithms for FIR Systems.

The Springer International Engineering and Computer Science .

This book serves as an invaluable reference with respect to the most important standards in the field. Video and Image Processing in Multimedia Systems is suitable as a textbook for course use. Скачать (pdf, . 0 Mb) Читать. Epub FB2 mobi txt RTF.

This book presents basic and advanced topics in the areas of sig­ nal theory and processing as applied to acoustic echo-location (sonar)

This book presents basic and advanced topics in the areas of sig­ nal theory and processing as applied to acoustic echo-location (sonar). It is written at the advanced undergraduate or graduate level. Springer-Verlag Publishing; 484 pages; "Echo Signal Processing (The Springer International Series in Engineering and Computer Science)," by Dennis W. Ricker.

Adaptive 3D Sound Systems The Springer International Series in Engineering and Computer Science.

Although adaptive filtering and adaptive array processing began with research and development efforts in the late 1950's and early 1960's, it was not until the publication of the pioneering books by Honig and Messerschmitt in 1984 and Widrow and Stearns in 1985 that the field of adaptive signal processing began to emerge as a distinct discipline in its own right. Since 1984 many new books have been published on adaptive signal processing, which serve to define what we will refer to throughout this book as conventional adaptive signal processing. These books deal primarily with basic architectures and algorithms for adaptive filtering and adaptive array processing, with many of them emphasizing practical applications. Most of the existing textbooks on adaptive signal processing focus on finite impulse response (FIR) filter structures that are trained with strategies based on steepest descent optimization, or more precisely, the least mean square (LMS) approximation to steepest descent. While literally hundreds of archival research papers have been published that deal with more advanced adaptive filtering concepts, none of the current books attempt to treat these advanced concepts in a unified framework. The goal of this new book is to present a number of important, but not so well known, topics that currently exist scattered in the research literature. The book also documents some new results that have been conceived and developed through research conducted at the University of Illinois during the past five years.