Lecture Signals, systems & inference – Lecture 18: Power Spectral Density (PSD)

Lecture Signals, systems & inference – Lecture 3: Energy spectral density

18 p | 8 | 2

Lecture Signals, systems & inference – Lecture 23: Neyman-Pearson testing. Signal detection

6 p | 10 | 1

Lecture Signals, systems & inference – Lecture 17: LTI filtering of WSS processes

5 p | 11 | 1

Lecture Signals, systems & inference – Lecture 12: Probabilistic models, random variables

6 p | 8 | 1

Lecture Signals, systems & inference – Lecture 10: Observers, state feedback

9 p | 19 | 1

Lecture Signals, systems & inference – Lecture 8: Matrix exponential, ZIR+ZSR, transfer function, hidden modes, reaching target states

14 p | 10 | 1

Lecture Signals, systems & inference – Lecture 6: Modal solution of undriven CT LTI state-space models

8 p | 11 | 1

Lecture Signals, systems & inference – Lecture 4: State-Space Models

6 p | 18 | 1

Lecture Signals, systems & inference – Lecture 24: Matched filtering

9 p | 12 | 1