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(t) Xp(t) Conversion to a sequence p(t) = (t - nT) n=-00 Conversion x[n] h[n]y[n] = to an Te(nT) H(e)ye(nT) impulse train = (A) Yp(t) T H(jw) # ye(t)

(t) Xp(t) Conversion to a sequence p(t) = (t - nT) n=-00 Conversion x[n] h[n]y[n] = to an Te(nT) H(e)ye(nT) impulse train = (A) Yp(t) T H(jw) # ye(t)

Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
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Sampling Figure (A) shows the overall system for filtering a continuous-time signal using a discrete- time filter. (Note that this is the same procedure we have always followed in this class!) Plots of Xe(jw) (the original signal in the frequency domain) and H(e) (the discrete-time filter) are shown in Figure (B). For this problem, assume that the sampling period, T, equals 0.05 seconds. _x[n] =_ _h[n] |_y[n] = TYD-3-6 re(nT) H(e) ye(nT) sequence Xp(t) Conversion to a p(t) = (t - nT) +∞o in=-∞0 Xc (jw) -30T 30π (A) (B) Conversion to an impulse train (a) Sketch Xp(jw). Be sure to accurately label both axes! -T- Yp(t) T H(e) [¨ π NE H(jw) -FFFF Ye(t)
Transcribed Image Text:Sampling Figure (A) shows the overall system for filtering a continuous-time signal using a discrete- time filter. (Note that this is the same procedure we have always followed in this class!) Plots of Xe(jw) (the original signal in the frequency domain) and H(e) (the discrete-time filter) are shown in Figure (B). For this problem, assume that the sampling period, T, equals 0.05 seconds. _x[n] =_ _h[n] |_y[n] = TYD-3-6 re(nT) H(e) ye(nT) sequence Xp(t) Conversion to a p(t) = (t - nT) +∞o in=-∞0 Xc (jw) -30T 30π (A) (B) Conversion to an impulse train (a) Sketch Xp(jw). Be sure to accurately label both axes! -T- Yp(t) T H(e) [¨ π NE H(jw) -FFFF Ye(t)
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