Signals, Systems and Inference

Lecture Slides

Ses #	Topic	Lecture Slides
1	Introduction	Lecture 1 Slides (PDF - 1.1MB)
2	Transforms	Lecture 2 Slides (PDF)
3	Energy Spectral Density	Lecture 3 Slides (PDF)
4	State-Space Models	Lecture 4 Slides (PDF)
5	State-Space Models Equilibrium Linearization	Lecture 5 Slides (PDF)
6	Modal Solution of Undriven CT LTI State-Space Models	Lecture 6 Slides (PDF)
7	Full Modal Solution Asymptotic Stability Reachability Observability	Lecture 7 Slides (PDF)
8	Matrix Exponential ZIR+ZSR Transfer Function Hidden Modes Reaching Target States	Lecture 8 Slides (PDF)
9	Observers for State Estimation	Lecture 9 Slides (PDF)
10	Observers State Feedback	Lecture 10 Slides (PDF)
11	State Feedback Observer-Based Feedback	Lecture 11 Slides (PDF)
12	Probabilistic Models Random Variables	Lecture 12 Slides (PDF)
13	Vector Picture for First- and Second-Order Statistics MMSE and LMMSE Estimation	Lecture 13 Slides (PDF)
14	LMMSE Estimation Orthogonality	Lecture 14 Slides (PDF)
15	Normal Equations Random Processes	Lecture 15 Slides (PDF)
16	Wide-Sense Stationary Processes LTI Filtering of WSS Processes	Lecture 16 Slides (PDF)
17	LTI Filtering of WSS Processes	Lecture 17 Slides (PDF)
18	Power Spectral Density (PSD)	Lecture 18 Slides (PDF)
19	Einstein-Wiener-Khinchin Theorem PSD Applications Modeling Filters	Lecture 19 Slides (PDF)
20	Wiener Filtering	Lecture 20 Slides (PDF)
21	Wiener Filtering Illustrations	Lecture 21 Slides (PDF)
22	Hypothesis Testing	Lecture 22 Slides (PDF)
23	Neyman-Pearson Testing Signal Detection	Lecture 23 Slides (PDF)
24	Matched Filtering	Lecture 24 Slides (PDF)