Engineering

• MATLAB and Simulink are introduced for design—For design, analysis, and implementation of DSP algorithms.

  • Provides students with an overview of real-time DSP technologies, and effectively illustrates hands-on aspects of real-time DSP applications.

• Use of the code composer studio CCS—For the TMS320C54x and TMS320C55X for lab experiments, projects, and applications.

  • Illustrates the concepts of real-time DSP, and bridges the gap between theoretical signal processing and real-time implementation.

• Emphasis on the mixing of C and assembly programs.

  • Utilizes advanced DSP architecture for fast software development and maintenance.

• A two-level approach in the hands-on exercises—First introduces the software tools and guides students step-by-step to design, simulate, verify, and finally develop programs in both floating- and fixed-point formats.

  • Offers students the opportunity to practice and apply what they have learned.

• A quick reference guide on the usage of MATLAB with DSP related toolboxes—In Appendix A.

  • Helps beginner MATLAB students to be familiar with the useful tools for signal processing.

1. Introduction to DSP Systems.


2. Fundamentals of Digital Signal Processing.


3. Implementation Considerations.


4. Fixed-Point DSP Processors.


5. Floating-Point DSP Processors.


6. FIR Filtering.


7. IIR Filtering.


8. Fast Fourier Transforms.


9. Adaptive Filtering.


Appendix A. Introduction to MATLAB and Simulink.


Appendix B. Additional Hands-on Experiments and Applications.


Appendix C. Description of Files in Companion CD and Website.


Index.

Digital Signal Processing  [CORE TEXTS]   (Electrical and Computing Engineering)

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