DSP primer
著者
書誌事項
DSP primer
（Primer series）
McGraw Hill, 1998
- タイトル別名
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Digital signal processing primer
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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, multirate 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.
目次
Preface 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 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 Chapter 14: FIR Filter Design: Remez 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: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403 Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
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