tailieunhanh - Lecture Signals, systems & inference – Lecture 17: LTI filtering of WSS processes
Lecture Signals, systems & inference – Lecture 17: LTI filtering of WSS processes. The following will be discussed in this chapter: iid signal x[n], uniform in []; DTFT magnitude |X(ejΩ)|, 0 to 2π; transform magnitudes for 4 realizations of a ±1 Bernoulli process. | Lecture Signals, systems & inference – Lecture 17: LTI filtering of WSS processes LTI filtering of WSS processes , Spring 2018 Lec 17 1 iid signal x[n], uniform in [] 0 0 20 40 60 80 100 120 2 DTFT magnitude |X(ejΩ)|, 0 to 2π 7 6 5 4 3 2 1 0 0 200 400 600 800 1000 3 Transform magnitudes for 4 realizations of a ±1 Bernoulli process M = 1, T = 50 M = 1, T = 50 M = 1, T = 50 M = 1, T = 50 4 4 4 4 3 3 3 3 2 2 2 2 1 1 1 1 0 0 0 0 0 1 0 1 0 1 0 1 v/(2p) v/(2p) v/(2p) v/(2p) M = 4, T = 50 M = 4, T = 200 4 4 3 3 2 2 1 1 0 0 0 1 0 1 v/(2p) v/(2p) M 16, T 50 M 16, T 200 4 4 4 3 3 MIT OpenCourseWare Signals, Systems and Inference Spring 2018 For information about citing these materials or our Terms of Use, visit: . 5
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