I think the reason DSP is preceived as difficult to understand, is because traditional book/class tend to spend most of the time solving equations such as DFT, FFT, Z-transform of different signal (pulse, unit step, sinusoidal, square, triangular etc), differential equation to get zero and pole, sta
Digital Signal Processing and Applications
β Scribed by Dag Stranneby and William Walker (Auth.)
- Publisher
- Elsevier/Newnes
- Year
- 2004
- Tongue
- English
- Leaves
- 350
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Content:
Preface, Pages ix-x
1 - Introduction, Pages 1-39
2 - The analogβdigital interface, Pages 41-71
3 - Adaptive digital systems, Pages 73-93
4 - Non-linear applications, Pages 95-130
5 - Spectral analysis and modulation, Pages 131-158
6 - Introduction to Kalman filters, Pages 159-177
7 - Data compression, Pages 179-207
8 - Error-correcting codes, Pages 209-239
9 - Digital signal processors, Pages 241-277
Appendix 1 - Solutions to problems, Pages 279-312
Appendix 2 - A MATLABβ’/Simulinkβ’ primer, Pages 313-340
References, Pages 341-343
Glossary, Pages 345-349
Index, Pages 351-357
π SIMILAR VOLUMES
I think the reason DSP is preceived as difficult to understand, is because traditional book/class tend to spend most of the time solving equations such as DFT, FFT, Z-transform of different signal (pulse, unit step, sinusoidal, square, triangular etc), differential equation to get zero and pole, sta
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. Thi
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This
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
<span>Combining clear explanations of elementary principles, advanced topics and applications with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier t