Schaum's Outline of Theory and Problems of Digital Signal Processing

SOLVED PROBLEMS

FIR Filter Design

9.1

Use the window design method to design a linear phase FIR filter of order N = 24 to approximate the following ideal frequency response magnitude:


The ideal filter that we would like to approximate is a low-pass filter with a cutoff frequency ? p = 0.2 ?. With N = 24, the frequency response of the filter that is to be designed has the form


Therefore, the delay of h( n) is ? = N/2 = 12, and the ideal unit sample response that is to be windowed is


All that is left to do in the design is to select a window. With the length of the window fixed, there is a trade-off between the width of the transition band and the amplitude of the passband and stopband ripple. With a rectangular window, which provides the smallest transition band,


and the filter is


However, the stopband attenuation is only 21 dB, which is equivalent to a ripple of ? s = 0.089. With a Hamming window, on the other hand,


and the stopband attenuation is 53 dB, or ? s = 0.0022. However, the width of the transition band increases to


which, for most designs, would be too wide.

9.2

Use the window design method to design a minimum-order high-pass filter with a stopband cutoff frequency ? s = 0.22 ?, a passband cutoff frequency ? p = 0.28

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