DSP Primer
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.
Why Read This Book
You will get a hands-on toolbox of ready-to-run algorithms and clear, concise explanations that let you move quickly from theory to implementation. The book’s large collection of practical routines and accompanying C/C++ code make it especially useful when you need working DSP solutions rather than deep proofs.
Who Will Benefit
Practicing DSP engineers, developers implementing signal-processing systems, and advanced students who need a pragmatic reference of algorithms and code for digital filtering, transforms, spectral analysis, multirate and adaptive methods.
Level: Intermediate — Prerequisites: Basic signals and systems (discrete-time concepts), undergraduate-level calculus and linear algebra, and familiarity with programming (C/C++ preferred).
Key Takeaways
- Implement common FIR and IIR filter design methods and apply them in practical code
- Compute and use DFT/FFT-based techniques for spectral analysis and filtering
- Design and apply multirate systems such as decimators, interpolators, and sample-rate converters
- Apply adaptive filtering algorithms (LMS variants) for noise cancellation and system identification
- Perform practical spectral-estimation and windowing techniques for analysis tasks
- Implement basic speech-processing routines and other application-level DSP building blocks
Topics Covered
- 1. Introduction and Practical DSP Overview
- 2. Discrete-Time Signals, Systems and Transforms (z-transform, stability)
- 3. FIR Filter Design and Implementation
- 4. IIR Filter Design and Realization
- 5. Discrete Fourier Transform and FFT Algorithms
- 6. Spectral Analysis and Windowing Techniques
- 7. Multirate Signal Processing and Filter Banks
- 8. Statistical Signal Processing and Estimation
- 9. Adaptive Filtering Algorithms and Applications
- 10. Speech Processing and Practical Applications
- 11. Implementation Notes, Optimization, and Fixed-Point Considerations
- 12. Code Library, Examples and Walkthroughs (CD-ROM/Source)
- Appendices: Tables, Transforms, and Program Reference
Languages, Platforms & Tools
How It Compares
Far more applied and code-oriented than Oppenheim & Schafer's Discrete-Time Signal Processing (which emphasizes theory); similar practical spirit to Steven W. Smith's The Scientist and Engineer's Guide to DSP but with a larger packaged C/C++ algorithm library.
