Signal Processing in C
Signal Processing in C Written by experts in the field, this invaluable guide provides you with a unified software structure for digital signal processing and numerical analysis in C. Using extensive examples, it clearly explains basic digital signal processing. This book shows you how to develop modular, well structured C code for any DSP application. Signal Processing in C also:
* Provides a wealth of practical, real-world algorithms
* Includes complete coverage of DSP fundamentals such as discrete-time frequency, waveforms, the Nyquist Frequency, aliasing, band pass sampling, and more
* Illuminates theoretical concepts through gradual, step-by-step development of actual C code
* Shows you how to design programs utilizing the most popular signal filtering methods, including Fourier, Fast Fourier, FIR and IIR filters
Why Read This Book
You will get a practical, code-first tour of digital signal processing that shows how to turn DSP theory into reusable, modular C programs. The book pairs clear explanations of fundamentals (sampling, aliasing, FFTs, filter design) with complete C examples so you can prototype and deploy real DSP algorithms quickly.
Who Will Benefit
Engineers and developers with some programming and signals background who want to implement DSP algorithms in C for audio, communications, radar, or embedded systems.
Level: Intermediate — Prerequisites: Basic C programming (control structures, arrays, pointers), calculus and linear algebra (Fourier transforms, complex numbers), and introductory signals & systems concepts.
Key Takeaways
- Implement common DSP algorithms in modular ANSI C code suitable for reuse and integration
- Design and evaluate digital FIR and IIR filters using practical design techniques
- Compute and apply FFT-based spectral analysis and windowing methods for real signals
- Develop adaptive filtering algorithms (e.g., LMS) and understand their convergence behavior
- Apply statistical signal processing ideas to noise reduction, detection and estimation problems
- Translate signal-processing concepts into working examples for audio/speech, radar, and communications
Topics Covered
- Introduction: Software Structure for DSP in C
- Mathematical Foundations: Discrete-Time Signals and Systems
- Numerical Methods and Practical Considerations in C
- Discrete Fourier Transform and FFT Algorithms
- Spectral Analysis, Windowing, and Resolution
- Digital Filter Theory: FIR Design and Implementation
- Digital Filter Theory: IIR Design and Stability
- Adaptive Filtering and LMS Algorithms
- Statistical Signal Processing and Estimation
- Audio and Speech Processing Examples
- Communications and Radar Signal Processing Applications
- Wavelet Concepts and Multiresolution Methods (practical overview)
- Software Engineering for DSP: Modularity, Testing, and Optimization
- Appendices: C Code Listings, Numerical Recipes, and Reference Tables
Languages, Platforms & Tools
How It Compares
More implementation-focused than Oppenheim & Schafer's theoretical classic and more structured in its C software organization than Steven W. Smith's practical DSP guide.
