Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK (Topics in Digital Signal Processing
Now in a new edition-the most comprehensive, hands-on introduction to digital signal processing The first edition of Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK is widely accepted as the most extensive text available on the hands-on teaching of Digital Signal Processing (DSP). Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version (3.1) of Texas Instruments Code Composer Studio (CCS) development environment. Maintaining the original's comprehensive, hands-on approach that has made it an instructor's favorite, this new edition also features: Added program examples that illustrate DSP concepts in real-time and in the laboratory Expanded coverage of analog input and output New material on frame-based processing A revised chapter on IIR, which includes a number of floating-point example programs that explore IIR filters more comprehensively More extensive coverage of DSP/BIOS All programs listed in the text-plus additional applications-which are available on a companion CD-ROM No other book provides such an extensive or comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals-making this an ideal text for DSP courses at the senior undergraduate and postgraduate levels. It also serves as a valuable resource for researchers, DSP developers, business managers, and technology solution providers who are looking for an overview and examples of DSP algorithms implemented using the TMS320C6713 and TMS320C6416 DSK.
Why Read This Book
Read this book if you want to move beyond theory and actually implement DSP algorithms on real hardware. Its strength is the large collection of worked examples and lab-oriented exercises that make it especially useful for learning how DSP concepts map to real-time applications.
Who Will Benefit
Best suited for senior undergraduate and graduate students in electrical engineering, computer engineering, and applied DSP courses, as well as engineers developing or prototyping DSP systems. It is also valuable for instructors and practitioners who want a platform-based, example-rich reference for TI C6000 DSP development.
Level: Intermediate — Prerequisites: Readers should already be comfortable with basic signals and systems concepts, complex numbers, Fourier analysis, and introductory programming. Familiarity with C programming and digital filter basics will help, along with some exposure to DSP hardware or embedded development.
Key Takeaways
- Implement DSP algorithms in C on TI C6713/C6416 DSK hardware
- Use Code Composer Studio to build, test, and debug DSP applications
- Design and analyze FIR and IIR filters for practical signal-processing tasks
- Apply FFT-based methods for spectrum analysis and frequency-domain processing
- Work with real-time audio input/output and frame-based signal processing
- Understand how laboratory examples connect DSP theory to working applications
Topics Covered
- Introduction to digital signal processing and DSK hardware
- Review of discrete-time signals and systems
- Sampling, aliasing, and spectral analysis
- The discrete Fourier transform and FFT algorithms
- FIR filter design and implementation
- IIR filter design and floating-point example programs
- Real-time audio input/output and signal acquisition
- Frame-based processing techniques
- DSP/BIOS and real-time software structure
- Applications in audio and communications signal processing
- Laboratory exercises and companion program examples
- Appendices: Code Composer Studio and TI development workflow
Languages, Platforms & Tools
How It Compares
Compared with more theory-heavy DSP texts such as Oppenheim/Schafer, this book is far more implementation-focused and hardware-oriented. It is closer in spirit to a lab manual or applied engineering guide, with extensive TI-specific code examples rather than broad algorithmic coverage across many architectures.
