Digital signal processing with examples in MATLAB®
Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of app...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press, an imprint of Taylor and Francis
2012.
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| Edición: | 2nd ed |
| Colección: | Electrical engineering and applied signal processing series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629805106719 |
Tabla de Contenidos:
- Front Cover; Contents; Foreword to the Second Edition; Foreword to the First Edition in Memory of Richard W. Hamming (1915-1998); Preface to the Second Edition; Preface to the First Edition; Authors; Chapter 1 - Introduction; Chapter 2 - Least Squares, Orthogonality, and the Fourier Series; Chapter 3 - Correlation, Fourier Spectra, and the Sampling Theorem; Chapter 4 - Linear Systems and Transfer Functions; Chapter 5 - FIR Filter Design; Chapter 6 - IIR Filter Design; Chapter 7 - Random Signals and Spectral Estimation; Chapter 8 - Least-Squares System Design
- Chapter 9 - Adaptive Signal ProcessingChapter 10 - Signal Information, Coding, and Compression; Chapter 11 - Models of Analog Systems; Chapter 12 - Pattern Recognition with Support Vector Machines; Appendix: Table of Laplace and z Transforms; Color Insert; Back Cover
