C++ Algorithms for Digital Signal Processing
Bring the power and flexibility of C++ to all your DSP applications
The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can implement on your desktop PC. C++ Algorithms for Digital Signal Processing's programming methods can be used for applications as diverse as:
- Digital audio and video
- Speech and image processing
- Digital communications
- Radar, sonar, and ultrasound signal processing
Complete coverage is provided, including:
- Overviews of DSP and C++
- Hands-on study with dozens of exercises
- Extensive library of customizable source code
- Import and Export of Microsoft WAV and Matlab data files
Multimedia professionals, managers, and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, and programmers. It's the ideal bridge between programming and signal processing, and a valuable reference for experts in either field.
Source code for all of the DSP programs and DSP data associated with the examples discussed in this book and Appendix B and the file README.TXT which provide more information about how to compile and run the programs can be downloaded from www.informit.com/title/9780131791442
Why Read This Book
You should read this book if you want tested, reusable C++ approaches for turning DSP theory into working software: it shows class designs, code examples, and application patterns for filters, FFTs, and spectral tools. The emphasis on object-oriented structure and real-world examples helps you integrate DSP blocks into larger C++ systems rather than treating algorithms as isolated math.
Who Will Benefit
Software engineers and DSP practitioners with basic DSP and C++ knowledge who need to implement and integrate signal-processing algorithms into desktop or embedded C++ projects.
Level: Intermediate — Prerequisites: Basic DSP fundamentals (sampling, convolution, transforms, filter concepts), familiarity with C++ and object-oriented programming, and comfort with basic linear algebra.
Key Takeaways
- Implement common DSP building blocks (FIR/IIR filters, convolution, correlation) as reusable C++ classes.
- Apply FFT-based spectral analysis and fast convolution techniques in C++ programs.
- Design modular, object-oriented DSP pipelines suitable for audio, communications, and radar applications.
- Translate filter-design specifications into working code and test them with sample data.
- Profile and optimize C++ DSP code for performance on general-purpose processors.
Topics Covered
- Introduction: Why C++ for DSP and coding conventions
- C++ fundamentals applied to signal processing (classes, templates, data encapsulation)
- Basic DSP operations: convolution, correlation, and circular convolution
- FIR filter design and implementation (direct, convolution, window methods)
- IIR filters: structures, stability, and implementation issues
- Fast Fourier Transform algorithms and spectral analysis
- Practical filter design tools and windowing techniques
- Real-world applications: audio, speech, image snippets, communications, radar examples
- Performance considerations and optimization strategies in C++
- Testing, validation, and numerical issues
- Appendices: code listings, sample datasets, and library usage
Languages, Platforms & Tools
How It Compares
Compared with Steven W. Smith's The Scientist and Engineer's Guide to DSP (which is language-agnostic and tutorial-focused), Embree's book emphasizes object-oriented C++ implementations and code reuse for engineers building software systems.
