## Computer-based Exercises for Signal Processing Using MATLAB |

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### Contents

Basic Signals and Systems l | 1 |

Discrete Fourier Transform | 43 |

Appendix | 50 |

Copyright | |

32 other sections not shown

### Common terms and phrases

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 difference equation Digital Signal Processing discrete-time DTFT eigenvectors evaluate Exercise 2.1 exponential factor filter design FIR filter flops formula Fourier transform frequency domain frequency response frequency samples Gaussian given group delay Hamming window Hints IDFT implementation impulse response input signal interpolation inverse Kaiser window KXKR KXKRCISK limit cycles linear-phase low-pass filter mainlobe Matlab Matlab function measure method multiplication noise operations output sequence parameters passband peak phase poles polynomial power density spectrum Project pulse quantization rectangular window reqz sidelobe Signal Processing sinusoid spectral spectrum estimation speech stopband structure test signal transfer function transition band truncation unit circle values variance vector Verify versus waveform width window length wordlength Write an M-file z-transform