## Digital Signal Processing |

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dsp

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can solve more variety of problems

### Contents

Table of Contents | 4-1 |

5 Professional Ethics and Human Values Bagad Dhotre | 5 |

Assignment2 Linear and Circular Convolution of two Sequences L 9 to L 17 | 9 |

Assignment3 FIR Filter Design L 18 to L | 18 |

Assignment4 Design of IIR Filters L 26 to L | 26 |

Assignment 5 Calculation of FFT of a Signal L 38 to L | 38 |

FFT Chapter | P-1 |

Infinite Impulse Response Digital Filters Chapter | P-2 |

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### Common terms and phrases

2-point DFTs analog filter approximation architecture attenuation bandpass bilinear transformation bit reversed butterworth filter calculates chebyshev filter circular convolution coefficients cutoff frequency data memory decimation digital filter Digital Signal Processing discrete DSP processors equation becomes equivalent analog filter example FFT algorithms finite FIR filter FIR filter design fourier transform given by equation Ha(s Hence above equation ideal lowpass filter IDFT IIR system implemented impulse invariance impulse response input sequence instruction inverse kaiser window length linear convolution linear phase lowpass filter magnitude response mapped MATLAB MATLAB program memory locations method N-point noise normalized observe obtained operand output passband passband edge frequency periodogram point DFT poles rad/sec radix-2 realization response of FIR ripple s-plane sampling frequency sequence x(n shift shown in Fig signal flow graph specifications of equivalent stopband system function truncation unit circle unit sample response values z-transform zero