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Practical time-frequency analysis : Gabor and wavelet transforms with an implementation in S /

Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presen...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carmona, R. (René)
Otros Autores: Hwang, Wen-Liang, Torrésani, Bruno
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, ©1998.
Colección:Wavelet analysis and its applications ; v. 9.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Practical time-frequency analysis :  |b Gabor and wavelet transforms with an implementation in S /  |c René Carmona, Wen-Liang Hwang, Bruno Torrésani. 
260 |a San Diego :  |b Academic Press,  |c ©1998. 
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490 1 |a Wavelet analysis and its applications ;  |v v. 9 
504 |a Includes bibliographical references (pages 441-469) and indexes. 
588 0 |a Print version record. 
505 0 |a Front Cover; Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S; Copyright Page; Contents; Part I: Background Material; Chapter 1. Time, Frequency, and Time-Frequency; Chapter 2. Spectral Theory of Stationary Random Processes: A Primer; Part II: Gabor and Wavelet Transforms; Chapter 3. The Continuous Gabor Transform; Chapter 4. The Continuous Wavelet Transform; Chapter 5. Discrete Time-Frequency Transforms and Algorithms; Part III: Signal Processing Applications; Chapter 6. Time-Frequency Analysis of Stochastic Processes. 
520 |a Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presentation of the applications of these transforms to signal processing, emphasizing the continuous transforms and their applications to signal analysis problems, including estimation, denoising, detection, and synthesis. To help the reader perform these analyses, Practical Time-Frequency Analysis provi. 
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650 0 |a Signal processing  |x Mathematics. 
650 0 |a Time-series analysis. 
650 0 |a Wavelets (Mathematics) 
650 0 |a Frequency spectra. 
650 0 |a Gabor transforms. 
650 6 |a Traitement du signal  |x Mathématiques. 
650 6 |a Série chronologique. 
650 6 |a Ondelettes. 
650 6 |a Spectre de fréquences. 
650 6 |a Transformées de Gabor. 
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650 7 |a TECHNOLOGY & ENGINEERING  |x Signals & Signal Processing.  |2 bisacsh 
650 7 |a Frequency spectra  |2 fast 
650 7 |a Gabor transforms  |2 fast 
650 7 |a Signal processing  |x Mathematics  |2 fast 
650 7 |a Time-series analysis  |2 fast 
650 7 |a Wavelets (Mathematics)  |2 fast 
650 1 7 |a Wavelets.  |2 gtt 
650 1 7 |a Tijdreeksen.  |2 gtt 
650 1 7 |a Signaalverwerking.  |2 gtt 
700 1 |a Hwang, Wen-Liang. 
700 1 |a Torrésani, Bruno. 
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830 0 |a Wavelet analysis and its applications ;  |v v. 9. 
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