Computer-Based Exercises for Signal Processing Using MATLAB Ver.5

FEATURES:

• Presents many computer-based problems that can be done in conjunction with a course in DSP theory.
• • Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied.
• Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing.
• Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5.
• Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems.
• Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.

FEATURES:

• Presents many computer-based problems that can be done in conjunction with a course in DSP theory.
  • Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied.
• Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing.
• Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5.
• Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems.
• Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.