Time-Frequency Signal Analysis and Processing

A Comprehensive Reference

Autor: Boualem Boashash

Jazyk:

Väzba: Pevná

Vydavateľ: Elsevier Science Publishing Co Inc

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-18 dní

179.97 €

"Time-Frequency Signal Analysis and Processing" ("TFSAP") is a collection of theory and algorithms u...

Informácie o knihe

Autor

Boualem Boashash

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2015

Stránok

1056

EAN

9780123984999

ISBN

0123984998

Enbook ID

04494738

Vydavateľ

Elsevier Science Publishing Co Inc

Hmotnosť

2314

Rozmery

242 x 201 x 58

Kompletný popis

"Time-Frequency Signal Analysis and Processing" ("TFSAP") is a collection of theory and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insight into how to use TFSAP methods to develop the engineering application systems they are looking to implement. A comprehensive tutorial introduction to "Time-Frequency Signal Analysis and Processing" TFSAP, accessible to anyone who has taken a first course in signals and systems; Key theory and algorithms, concisely presented by some of the leading authorities on the respective topics. It provides applications, written by leading researchers, showing how to use TFSAP methods to develop. Availability of a software package on TFSAP which consists of the most important algorithms described in the book so that they are ready for use with an easy GUI (Graphic User Interface). New sections on Efficient Fast Algorithms and a section "Getting Started" which allows users to start using the algorithms on simulated and real examples, compare the results presented in the book and then insert the algorithms in their own application and adapt as needed (Source code is provided). Two new chapters, 23 new sections, all sections include the latest references. New topics in this edition include: Efficient algorithms (with source code), the EMD, the S transform, time-frequency modeling, more mathematical foundations, relationship between QTFDs and Wavelet Transforms; new advanced applications such as cognitive radio; watermarking; noise reduction in the time-frequency domain; a time-frequency approach for spike detection; algorithms for "Time-Frequency Image Processing"; a full new chapter dedicated to Time-Frequency applications in neuroscience; a practical new chapter to help new users get started.

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Time-Frequency Signal Analysis and Processing

A Comprehensive Reference

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