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Kapcsolat

Time-Frequency Signal Analysis and Processing

A Comprehensive Reference

Szerző: Boualem Boashash

Nyelv:

Kötés: Kemény kötésű

Kiadó: Elsevier Science Publishing Co Inc

Elérhetőség: Beszállítói készleten

Küldés 14-21 napon belül

68 901 Ft

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

Információk a könyvről

Szerző

Boualem Boashash

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2015

oldal

1056

EAN

9780123984999

ISBN

0123984998

Enbook ID

04494738

Kiadó

Elsevier Science Publishing Co Inc

Súly

2314

Méretek

242 x 201 x 58

Teljes leírás

"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.