Let S 1 be a causal and stable LTI system with impulse response h 1 [n] and

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Let S1 be a causal and stable LTI system with impulse response h1[n] and frequency response H1(e). The input x[n] and output y[n] for S1 are related by the difference equation 

y[n] – y[n – 1] + ¼ y[n – 2] = x[n].

(a) If an LTI system S2 has a frequency response given by H2(e) = H1(−e), would you characterize S2 as being a lowpass filter, a bandpass filter, or a highpass filter? Justify your answer.

(b) Let S3 be a causal LTI system whose frequency response H3(e) has the property that 

H3(e) H1(e) = 1.

 Is S3 a minimum-phase filter? Could S3 be classified as one of the four types of FIR filters with generalized linear phase? Justify your answers.

(c) Let S4 be a stable and non-causal LTI system whose frequency response is H4(e) and whose input x[n] and output y[n] are related by the difference equation: 

y[n] + a1y[n – 1] + a2y[n – 2] = βx[n],

where α1,  2, and β0 are all real and nonzero constants. Specify a value for α1, a value for α2, and a value for β0 such that |H4(e )| = |H1(e)|.

(d) Let S5 be an FIR filter whose impulse response is h5[n] and whose frequency response, H5(e) has the property that H5(e) = |A(e)|2 for some DTFT A(e) (i.e., S5 is a zero-phase filter). Find h5[n] such that h5[n] * h1[n] is the impulse response of a non causal FIR filter.

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Discrete Time Signal Processing

ISBN: 978-0137549207

2nd Edition

Authors: Alan V. Oppenheim, Rolan W. Schafer

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