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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. Conversion to a sequence p(t) = S(t – nT) Conversion x[n] h[n] y[n] = to an xe(NT) H(e) ye(nT) impulse train = Xc(jw) 2 -30T 30T (A) (B) yp(t) T H(ejw) 1 ¨¨¨NA¨¨¨ -ㅠ-ㅠ ㅠㅠ (a) Sketch Xp(jw). Be sure to accurately label both axes! H(jw) ㅠ T ye(t)

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. Conversion to a sequence p(t) = S(t – nT) Conversion x[n] h[n] y[n] = to an xe(NT) H(e) ye(nT) impulse train = Xc(jw) 2 -30T 30T (A) (B) yp(t) T H(ejw) 1 ¨¨¨NA¨¨¨ -ㅠ-ㅠ ㅠㅠ (a) Sketch Xp(jw). Be sure to accurately label both axes! H(jw) ㅠ T 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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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. 2c(t) Xp (t) Conversion to a sequence p(t) = [∞∞ √(t – nT) n=1x Conversion to an x[n] = h[n]y[n] = xc(nT) H(ejw) ye(nT) impulse train Xc (jw) 2 -30T 30π (A) (B) -π (a) Sketch X₂ (jw). Be sure to accurately label both axes! H(ejw) -1 T Yp(t) πT 2 T ㅠ - FE π ^¨* ㅠ H(jw) FEIE T Ye(t)
Transcribed Image Text: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. 2c(t) Xp (t) Conversion to a sequence p(t) = [∞∞ √(t – nT) n=1x Conversion to an x[n] = h[n]y[n] = xc(nT) H(ejw) ye(nT) impulse train Xc (jw) 2 -30T 30π (A) (B) -π (a) Sketch X₂ (jw). Be sure to accurately label both axes! H(ejw) -1 T Yp(t) πT 2 T ㅠ - FE π ^¨* ㅠ H(jw) FEIE T Ye(t)
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Pulse Analog Modulation (Pulse Amplitude Modulation [PAM], Pulse Width Modulation [PWM], Pulse Position Modulation [PPM])
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