ISBN 9780070603493,DSP Primer

DSP Primer



Tata McGraw - Hill Education

Publication Year 2005

ISBN 9780070603493

ISBN-10 0070603499


Language (English)

Electronics & Communication Engineering

For day-to-day digital signal processing, you simply can't find a better source than DSP Primer. After a concise statement of the applicable theory, this clear, practical book/CD package hands you ready-to-apply tools that cover the vast majority of digital signal processing deployment challenges. You get more than 200 useful algorithms, mathematical models, and design procedures; code in both executable Windows and source forms; and a step-by-step approach to solving problems and selecting techniques. DSP Primer covers digital filtering methods, discrete transform techniques, digital spectra analysis, multi rate and statistical signal processing, adaptive filtering, speech processing, and much more.

The CD-ROM gives you C++ programs for immediately testing new techniques, a library of C++ classes ready for integration into your own applications, and sample data for algorithm evaluation and demonstration. With hands-on solutions for common problems, DSP Primer is the toolkit of choice for the most explosively growing area of electrical engineering.

Table of Contents : -
Chapter 1: Some Essential Preliminaries
Chapter 2: Continuous-Time Signals and Their Spectra
Chapter 3: Noise
Chapter 4: Linear Systems
Chapter 5: Classical Analog Filters
Chapter 6: Foundations of Digital Signal Processing
Chapter 7: Transform Analysis of Discrete-Time Systems
Chapter 8: Discrete Fourier Transform (DFT)
Chapter 9: Fast Fourier Transforms
Chapter 10: Windows for Filtering and Spectral Analysis
Chapter 11: FIR Filter Fundamentals
Chapter 12: FIR Filter Design: Window Method
Chapter 13: FIR Filter Design: Frequency Sampling Method
Chapter 14: FIR Filter Design: Remez Exchange Method
Chapter 15: IIR Filter Fundamentals
Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods
Chapter 17: IIR Filter Design: Bilinear Transformation
Chapter 18: Multi rate Signal Processing: Basic Concepts
Chapter 19: Structures for Decimators and Interpolators
Chapter 20: Advanced Multirate Techniques
Chapter 21: Random Signals and Sequences
Chapter 22: Parametric Models of Random Processes
Chapter 23: Linear Prediction
Chapter 24: Adaptive Filters
Chapter 25: Classical Spectral Estimation
Chapter 26: Modern Spectral Estimation
Chapter 27: Speech Processing
Appendix A: Mathematical Tools