Digital Signal Processing

The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

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Lecture 11 part 2: Selective Filtering

Porat chapters and beamforming

10-17
42:48

Lecture 11 part 1: Selective Filtering

Porat chapters and beamforming

10-17
47:37

Lecture 10 part 2: Non parametric estimation

non parametric estimation

10-15
41:22

Lecture 10 part 1: Non parametric estimation

non parametric estimation

10-15
47:29

Lecture 8 part 2: Levinson algorithm (cont.)

Levinson algorithm

10-08
33:31

Lecture 8 part 1: Levinson algorithm (cont.)

Levinson algorithm

10-08
45:52

Lecture 7 part 2: Parametric models/Levinson algorithm

parametric models, Yule_Walker eauations sheets

10-03
47:32

Lecture 7 part 1: Parametric models/Levinson algorithm

parametric models, Yule_Walker eauations sheets

10-03
48:31

Lecture 6 part 2: Application of estimation theory

summary of estimation theory and an application to communications

10-01
38:43

Lecture 6 part 1: Application of estimation theory

LSE, Bayesian philophy, MMSE, LMMSE

10-01
42:45

Lecture 5 part 2: Estimation Theory (cont.)

estimation techniques, MVU, BLUE and MLE

09-26
42:27

Lecture 5 part 1: Estimation Theory (cont.)

random variables, estimation theory problem statement, special models

09-26
49:23

Lecture 4: Estimation Theory

introduciton to estimation theory - random variables

09-24
30:48

Lecture 3 part 2: OFDM

equalization, multicarrier modulatation, some properties, final skim of OFDM and ADSL modem case

09-19
43:47

Lecture 3 part 1: OFDM

Introduction to OFDM and transmission over channels

09-19
48:04

Lecture 2 part 2: The Fast Fourier Transform

description to explain a Radix 2 FFT

09-12
46:08

Lecture 2 part 1: The Fast Fourier Transform

Radix 2 FFT Method 1 and 2

09-12
44:40

Lecture 1 part 2: DFT principles

more concepts of DFT

09-05
44:19

Lecture 1 part 1: introduction to the course/DFT principles

introduction and the first part of DFT

09-05
46:21
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Praveen U

There is an error in accessing this interesting DSP lectures. Please resolve. Thanks.

06-17 Reply

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