Computer-based Exercises for Signal Processing Using MATLAB 5

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Prentice Hall, 1998 - Computers - 404 pages

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.

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Contents

DISCRETE FOURIER TRANSFORM
43
APPENDIX
50
SPECTRUM ANALYSIS
83
Copyright

15 other sections not shown

Common terms and phrases

algorithm aliasing all-pass all-pole amplitude analog approximation autocorrelation autocorrelation sequence band edge bandwidth Calculate Chapter Chebyshev chirp circular convolution coefficients complex compute covariance Determine Digital Signal Processing discrete-time DTFT elliptic filter evaluate EXERCISE 2.1 exponential factor filter design FIR filter flops formula Fourier transform frequency domain frequency response frequency samples freqz Gaussian given group delay H₁(z implementation input signal interpolation inverse Kaiser window limit cycles linear low-pass filter mainlobe MATLAB MATLAB function matrix measure N-point noise output sequence parameters passband peak phase Plot the magnitude polynomial power density spectrum prediction pulse quantization rectangular window sidelobe Signal Processing signal x[n sinusoid specifications spectral spectrum estimation speech stopband structure subplot transfer function transition band unit circle values variance vector Verify versus w₁ waveform wordlength Write an M-file z-transform

Bibliographic information

TitleComputer-based Exercises for Signal Processing Using MATLAB 5
MATLAB curriculum series
Prentice Hall international editions
AuthorJames H. McClellan
EditorJames H. McClellan
Editionillustrated
PublisherPrentice Hall, 1998
Original fromthe University of California
DigitizedApr 11, 2011
ISBN0137890095, 9780137890095
Length404 pages
Subjects › 

Computers / General
Computers / Mathematical & Statistical Software
Technology & Engineering / Signals & Signal Processing
Technology & Engineering / Telecommunications
  
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