C Algorithms for Real-Time Dsp
For electrical engineers and computer scientists.
Digital signal processing techniques have become the method of choice in signal processing as digital computers have increased in speed, convenience, and availability. At the same time, the C language is proving itself to be a valuable programming tool for real-time computationally intensive software tasks. This book is a complete guide to digital real-time signal processing techniques in the C language.
Why Read This Book
You should read this book if you want working, production-oriented C implementations of classic DSP algorithms and guidance on making them run in real-time on constrained processors. It gives practical coding patterns, implementation pitfalls (especially fixed‑point issues), and tested routines you can adapt to embedded and software DSP projects.
Who Will Benefit
Embedded/algorithm engineers and software developers with basic DSP knowledge who need production-ready C implementations and optimization advice for real-time systems.
Level: Intermediate — Prerequisites: Basic C programming, understanding of discrete-time signals (sampling, convolution), and elementary DSP concepts such as z-transform, FIR/IIR filtering, and FFT.
Key Takeaways
- Implement efficient C versions of common DSP building blocks (convolution, FIR/IIR filters, FFT) suitable for real-time use
- Optimize and adapt algorithms for limited-word-length and fixed-point arithmetic to avoid overflow and maintain accuracy
- Design and evaluate spectral analysis routines (windowing, FFT-based methods) for practical signal analysis
- Structure and organize DSP code for deterministic, low-latency execution in embedded/real-time environments
- Port and tune algorithms for target processors by applying practical performance and memory-reduction techniques
- Debug and benchmark DSP routines to verify numerical behavior and real-time performance constraints
Topics Covered
- Introduction: real-time DSP and C as an implementation language
- C programming techniques for DSP (data types, memory, optimization)
- Fixed-point arithmetic and numerical issues
- Time-domain operations: convolution, correlation, overlap methods
- FIR filter implementations and structures
- IIR filters: direct forms, cascade/biquad implementations, stability issues
- FFT algorithms and practical spectral analysis
- Windowing, leakage, and practical PSD estimation
- Implementation considerations: buffering, block processing, latency
- Optimization and profiling on embedded targets
- Multirate basics and decimation/interpolation techniques (practical notes)
- Testing, validation, and deployment of real-time DSP code
Languages, Platforms & Tools
How It Compares
Provides more hands-on, C-centric implementations than textbook treatments (e.g., Oppenheim & Schafer) and is less TI-DSP-hardware-specific than Kuo & Lee's Real-Time Digital Signal Processing, making it a practical bridge between theory and embedded software.
