ECE 6601 Schedule
Fall 2022


PDF Date Topic Reading Extras
lec1 Mon
Aug 22
Intro & Motivation; review probability Ch. 1,2
lec2 Wed
Aug 24
finish probability; discrete RV's Ch. 4
lec3 Mon
Aug 29
Continuous RV's; Pairs of RV's Ch. 6
lec4 Wed
Sep 31
Conditional pdf; functions of a RV; jointly Gaussian Ch. 6
(Labor Day Holiday)
lec5 Wed
Sep 7
Iterated Expectation; MMSE Estimation: Linear vs Unconstrained Ch. 7
lec6 Mon
Sep 12
uses of mgf; Cauchy; central limit theorem Ch. 7
lec7 Wed
Sep 14
Bernoulli process and related RV's: Binomial, Geometric, Negative Binomial Ch. 7
lec8 Mon
Sep 19
From Bernoulli to Poisson Ch. 9
Wed
Sep 21
QUIZ 1
lec10 Mon
Sep 26
More Poisson: Exp/Erlang/chi-square/Gamma Ch. 9
lec11 Wed
Sep 28
Stationarity, WSS vs SSS, ergodicity Ch. 10
lec12 Mon
Oct 3
WSS: Autocorrelation function Ch. 10
lec13 Mon
Oct 10
The PSD; Impact of Filtering on PSD Ch. 11
lec14 Wed
Oct 12
PSD in the complex plane; minimum-phase spectral factorizaton Ch. 11
(Fall Break)
lec15 Wed
Oct 19
arithmetic and geometric means, whitening, innovations Ch. 13
lec16 Mon
Oct 24
Linear Prediction Ch. 13
Wed
Oct 26
QUIZ 2
lec18 Mon
Oct 31
Wiener filtering Ch. 13
lec19 Wed
Nov 2
Wiener filter examples Ch. 13
lec20 Mon
Nov 7
Markov Chains Ch. 15
lec21 Wed
Nov 11
Markov state classification; balance equation, fundamental convergence theorem Ch. 15
lec22 Mon
Nov 14
Markov: birth-death, Ehrenfest Ch. 15
lec23 Wed
Nov 16
Recursive analysis of Markov Chains Ch. 15
Mon
Nov 21
QUIZ 3
(Thanksgiving Break)
lec24 Mon
Nov 28
Continuous-time Random Processes Ch. 9, 10
lec25 Wed
Nov 30
WSS Sinusoids; Poisson impulse process, Ch. 9, 10
lec26 Mon
Dec 5
Shot noise, Wiener Phase Noise, ADC and DAC for random processes Ch. 9, 10
Fri
Dec 9
FINAL EXAM, 6pm - 8:50pm