47:01[01] Basic operations on signals
Intro
A 47-minute video from Computer Vision and Image Processing Lab: “[01] Basic operations on signals”.
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47:01Intro
A 47-minute video from Computer Vision and Image Processing Lab: “[01] Basic operations on signals”.
32:52A 33-minute video from Computer Vision and Image Processing Lab: “[02] Classification of signals”.
35:01A 35-minute video from Computer Vision and Image Processing Lab: “[03] Complex exponentials and phasors”.
47:33A 48-minute video from Computer Vision and Image Processing Lab: “[04] Delta function and its properties”.
30:32A 31-minute video from Computer Vision and Image Processing Lab: “[06] Properties of systems (causality, time invariance)”.
21:21A 21-minute video from Computer Vision and Image Processing Lab: “[07] Properties of systems (linearity, stability, invertibility)”.
45:28A 45-minute video from Computer Vision and Image Processing Lab: “[08] Impulse response of LTI systems”.
34:56A 35-minute video from Computer Vision and Image Processing Lab: “[09] Convolution sum”.
29:29A 29-minute video from Computer Vision and Image Processing Lab: “[10] Convolution integral”.
52:11A 52-minute video from Computer Vision and Image Processing Lab: “[11] Properties of convolution and interconnection of LTI systems”.
44:25A 44-minute video from Computer Vision and Image Processing Lab: “[12] Determining the properties of an LTI system from its impulse response”.
7:28A 7-minute video from Computer Vision and Image Processing Lab: “[13] Step response of LTI systems”.
9:44A 10-minute video from Computer Vision and Image Processing Lab: “[14] LTI systems described by LCCDE”.
16:34Intro
A 17-minute video from Computer Vision and Image Processing Lab: “[15] Introduction to Fourier series”.
18:36A 19-minute video from Computer Vision and Image Processing Lab: “[16] LTI systems and complex exponentials”.
15:15A 15-minute video from Computer Vision and Image Processing Lab: “[17] Fourier series analysis equation”.
11:18A 11-minute video from Computer Vision and Image Processing Lab: “[18] Fourier series examples”.
36:24A 36-minute video from Computer Vision and Image Processing Lab: “[19] Dirichlet conditions & Gibbs phenomenon”.
6:48A 7-minute video from Computer Vision and Image Processing Lab: “[20] Properties of FS (conjugation)”.
20:28A 20-minute video from Computer Vision and Image Processing Lab: “[21] Properties of FS (time reversal)”.
32:01A 32-minute video from Computer Vision and Image Processing Lab: “[22] Properties of FS (linearity)”.
4:02A 4-minute video from Computer Vision and Image Processing Lab: “[23] Properties of FS (time/frequency shifting)”.
17:45A 18-minute video from Computer Vision and Image Processing Lab: “[24] Properties of FS (multiplication)”.
11:20A 11-minute video from Computer Vision and Image Processing Lab: “[25] Properties of FS (convolution)”.
13:16A 13-minute video from Computer Vision and Image Processing Lab: “[26] Properties of FS (Parseval's theorem)”.
12:44A 13-minute video from Computer Vision and Image Processing Lab: “[27] Properties of FS (differentiation)”.
26:07A 26-minute video from Computer Vision and Image Processing Lab: “[28] Properties of FS (integration)”.
8:22A 8-minute video from Computer Vision and Image Processing Lab: “[29] Properties of FS (time scaling)”.
29:46A 30-minute video from Computer Vision and Image Processing Lab: “[30] Discrete-time Fourier series”.
38:13A 38-minute video from Computer Vision and Image Processing Lab: “[31] Tutorial-1 (FS)”.
15:57A 16-minute video from Computer Vision and Image Processing Lab: “[32] Tutorial-2 (FS)”.
16:28A 16-minute video from Computer Vision and Image Processing Lab: “[33] Tutorial-3 (FS)”.
17:48A 18-minute video from Computer Vision and Image Processing Lab: “[34] Tutorial-4 (FS)”.
33:01Intro
A 33-minute video from Computer Vision and Image Processing Lab: “[35] Introduction to Fourier Transform”.
9:17A 9-minute video from Computer Vision and Image Processing Lab: “[36] Inverse Fourier transform”.
10:04A 10-minute video from Computer Vision and Image Processing Lab: “[37] Fourier spectrum”.