Playlist Duration

Playlist · NPTEL IIT Delhi

Principles of Digital Communications

by NPTEL IIT Delhi · 39 videos

Total watch time

1d 11h 17m

at 1× speed · exactly 1 day, 11 hours, 16 minutes, 32 seconds at 1×

At an hour a day you'd finish in 36 days

The shape of the course

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1:18:47

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Videos (39)

1d 11h 17m in total · tick what you've watched

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Videos to
Watched
1 Intro Video 5:20 2018-11-21
2 Lec 1 : Introduction 59:01 2019-01-25
3 Lec 2 : Waveforms & Vector Spaces 54:26 2019-01-24
4 Lec 3 : Inner Product & Orthogonal Expansion 53:12 2019-01-24
5 Lec 4 : Gram Schmidt Orthogonalization & Receiver Structures 55:29 2019-01-31
6 Lec 5 : Fourier Series & Related expansions 59:13 2019-01-31
7 Lec 6 : Bandwidth & Degree of Freedom 49:59 2019-02-01
8 Lec 7 : Discrete Random Variable 53:59 2019-01-31
9 Lec 8 : Continuous Random Variable 53:18 2019-01-31
10 Lec 9 : Multiple Random Variable 59:53 2019-01-31
11 Lec 10 : Random Vectors 58:16 2019-02-07
12 Lec 11 : Introduction to Random Process 52:05 2019-02-15
13 Lec 12 : Properties of Random Process 40:03 2019-02-15
14 Lec 13 : Gaussian Random Process(Part-1) 56:04 2019-02-15
15 Lec 14: Gaussian Random Process (Part-2) 1:01:08 2019-02-21
16 Lec 15 : Types of Random Process 49:02 2019-02-21
17 Lec 16 : Random Process through an LTI system 45:46 2019-02-21
18 Lec 17 : Spectral description of Random Process 50:49 2019-02-21
19 Lec 18 : Waveform Coding 1:12:18 2019-03-01
20 Lec 19 : Complex Baseband Representation of Passband Signals (Part -1) 1:03:46 2019-03-01
21 Lec 20 : Complex Baseband Representation of Passband Signals (Part -2) 46:18 2019-03-01
22 Lec 21 : Complex Baseband Representation of Passband Signals (Part -3) 52:30 2019-03-01
23 Lec 22: Spectral Description of Sources (Part-1) 49:49 2019-03-08
24 Lec 23 : Spectral Description of Sources (Part-2) 46:40 2019-03-08
25 Lec 24 : Spectral Description of Sources using Markov Chains & Cyclostationary Random Processes 1:03:47 2019-03-08
26 Lec 25 : Nyquist Pulses 1:18:47 2019-03-16
27 Lec 26 : Pulse Amplitude Modulation & Quadrature Amplitude Modulation (Part -1) 50:18 2019-03-16
28 Lec 27 : Pulse Amplitude Modulation & Quadrature Amplitude Modulation (Part -2) 49:49 2019-03-16
29 Lec 28 : Orthogonal Modulation Schemes 1:01:40 2019-03-23
30 Lec 29 : Differential Modulation Schemes 59:57 2019-03-23
31 Lec 30 : Maximum Aposteriori Probability (MAP) Detector & Maximum Likelihood (ML) Detector 51:46 2019-03-23
32 Lec 31 : Vector Detection 56:39 2019-03-29
33 Lec 32 : Theorem of Irrelevance & Waveform Detection 57:30 2019-03-29
34 Lec 33 : Sequence Detection 44:44 2019-03-29
35 Lec 34 : Performance of Binary Signalling Schemes 45:55 2019-03-29
36 Lec 35 : Performance of M-ary Signaling Schemes 58:34 2019-04-05
37 Lec 36 : Performance of Orthogonal Modulation Schemes & Bit-Level Demodulation 1:08:24 2019-04-05
38 Lec 37 : Performance of Non - Coherent Systems Systems 1:03:13 2019-04-12
39 Lec 38 : Fading Channel 57:05 2019-04-12
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