## Computer-based exercises for signal processing using MATLAB 5, Volume 5FEATURES: bull; bull;Presents many computer-based problems that can be done in conjunction with a course in DSP theory. bull; bull;Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied. bull;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. bull;Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5. bull;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. bull;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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#### Just what I need for grad school

User Review - i123n3 - Overstock.comGreat price, great condition, and on-time delivery. What more could a grad student ask for? However, for entertainment I would look elsewhere, but it is a really great Matlab companion workbook for any Discrete Signal Processing class. Thanks Overstock! Read full review

### Contents

Difference Equations | 8 |

Group Delay | 24 |

Basic Signals and Systems 1 | 32 |

Copyright | |

35 other sections not shown

### Common terms and phrases

1DFT 1n this exercise 1n this project algorithm aliasing all-pass all-pole amplitude approximation autocorrelation autocorrelation sequence bandlimited bandwidth Calculate Chebyshev chirp circular convolution coefficients complex compute covariance Determine DFT matrix discrete-time DTFT eigenvectors elliptic filter evaluate Exercise 2.1 exponential F1R filter factor filter design flops formula Fourier transform frequency domain frequency response frequency samples Gaussian given group delay Hamming window implementation impulse response input signal interpolation inverse Kaiser window limit cycles linear linear-phase locations low-pass filter mainlobe Matlab Matlab function measure multiplication N-point noise operations 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 transfer function transition band truncation unit circle values variance vector Verify versus waveform width window length wordlength Write an M-file z-transform