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Digital signal processing : DSP and applications /

This book is a uniquely practical DSP text which places the emphasis on understanding the principles and applications of DSP with a minimum of mathematics. In one volume, it covers a broad area of digital signal processing systems such as A/D and D/A converters, adaptive filters, spectral estimation...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stranneby, Dag
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; Boston : Newnes, 2001.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Digital signal processing :  |b DSP and applications /  |c Dag Stranneby. 
260 |a Oxford ;  |a Boston :  |b Newnes,  |c 2001. 
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504 |a Includes bibliographical references (pages 217-218) and index. 
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505 0 |a Cover; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 Historic background; 1.2 Digital signal processing basics; Chapter 2. The analog-digital interface; 2.1 System considerations; 2.2 Digital to analog conversion; 2.3 Analog to digital conversion; Chapter 3. Adaptive digital systems; 3.1 Introduction; 3.2 The processor and the performance function; 3.3 Adaptation algorithms; 3.4 Applications; Chapter 4. Non-linear applications; 4.1 General; 4.2 The median filter; 4.3 Artificial neural networks; 4.4 Fuzzy logic; Chapter 5. Spectral analysis and modulation; 5.1 DFT and FFT 
505 8 |a 5.2 Spectral analysis5.3 Complex modulation; Chapter 6. Introduction to Kalman filters; 6.1 An intuitive approach; 6.2 The Kalman filter; Chapter 7. Data compression; 7.1 An information theory primer; 7.2 Source coding; Chapter 8. Error-correcting codes; 8.1 Channel coding; 8.2 Error-correcting codes; Chapter 9. Digital signal processors; 9.1 System considerations; 9.2 DSP versus conventional microprocessors; 9.3 Programming DSPs; 9.4 Implementation examples; 9.5 Where to?; References; Glossary; Index 
520 |a This book is a uniquely practical DSP text which places the emphasis on understanding the principles and applications of DSP with a minimum of mathematics. In one volume, it covers a broad area of digital signal processing systems such as A/D and D/A converters, adaptive filters, spectral estimation, neural networks, Kalman filters, fuzzy logic, data compression, error correction and DSP programming. Many courses will find that this book will replace several texts currently in use. The level is ideal for introductory university modules, and similar courses such as HNC/D. As DSP has come. 
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