Digital Signal Processing by E. Ambikairajah at UNSW

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source: UNSWelearning     2009年3月23日
ELEC3104 Digital Signal Processing by Prof. E. Ambikairajah
Signal Processing is the process of measuring, manipulating or analysing information. Signals of interest include biomedical data, audio, still or moving images, radar, and even DNA. Filtering techniques can be crucial in revealing and interpreting information present in a signal. ELEC3104 Digital Signal Processing is an introductory signal processing course which takes students through the steps necessary to design and implement filters for a range of signals.
Lecture notes available from: http://tv.unsw.edu.au/school/electric...

1: Signals and Systems 1:12:59
2: Discrete-Time System 1:44:27
3: Introduction to Z-Transorm 2:14:10
4: Fourier Representation of Signal 1:14:40
5A: Digital Signal Processing 2:11:39
5B: Digital Signal Processing 1:24:31
5C: Digital Signal Processing 1:28:34
6: Discrete-Time Fourier Transform 1:15:05
7: Analogue Filter Design 1:02:36
8A: Digital Filter Design 50:02
8B: Digital Filter Design 1:19:55
9: Multirate Digital Signal Processi 1:10:29

Digital Signal Processing by S. C. Dutta Roy (IIT Delhi)

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source: nptelhrd     2010年3月17日
Electronics - Digital Signal Processing by Prof. S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi.

Lecture 1 - Digital Signal Processing Introduction 25:26
Lecture 2 - Digital Signal Processing Introduction Contd 55:26
Lecture 3 - Digital Systems 53:59
Lec 4 - Characterization Description,Testing of Digital Syst 49:03
Lecture - 5 LTI Systems Step & Impulse Responses,Convolution 57:05
Lecture - 6 Inverse Systems,Stability,FIR & IIR 1:00:10
Lecture - 7 FIR & IIR; Recursive & Non Recursive 56:27
Lecture - 8 Discrete Time Fourier Transform 57:17
Lecture - 9 Discrete Fourier Transform (DFT) 1:01:19
Lecture - 10 DFT (Contd.) 49:53
Lecture - 11 DFT (Contd.) Introduction to Z Transform 1:01:06
Lecture - 12 Z Transform 56:33
Lecture-13 Z Transform (Contd...) 58:25
Lecture - 14 Discrete Time Systems in the Frequency Domain 1:01:15
Lecture - 15 Simple Digital Filters 59:36
Lecture - 16 All Pass Filters,Com.Filters 58:28
Lecture - 17 Linear Phase filters,Complementary Transfer Fn 59:21
Lecture - 18 Compensatary Transfer Functions, (Contd.), 59:34
Lecture - 19 Test for Stability using All Pass Functions 1:00:21
Lecture - 20 Digital Processing of Continuous Time Signals 57:29
Lecture - 21 Problem Solving Session: FT, DFT,& Z Transforms 58:44
Lecture - 22 Problem Solving Session: FT,DFT, & Z Transforms 1:01:29
Lecture - 23 Analog Filter Design 56:49
Lecture - 24 Analog Chebyshev LPF Design 57:49
Lecture - 25 Analog Filter Design (Contd.): Transformations 1:00:08
Lecture - 26 Analog frequency Transformation; 1:01:13
Lecture - 27 Problem Solving Session on Discrete Time System 54:03
Lecture - 28 Digital Filter Structures 53:55
Lecture - 29 IIR Realizations 46:04
Lecture - 30 All Pass Realizations 51:36
Lecture - 31 Lattice Synthesis (Contd.) 1:00:02
Lecture - 32 FIR Lattice Synthesis 1:01:13
Lecture - 33 FIR Lattice (Contd.) and Digital Filter Design 54:41
Lecture - 34 IIR Filter Design 50:57
Lecture - 35 IIR Design by Bilinear Transformation 51:54
Lecture - 36 IIR Design Examples 1:01:08
Lecture 37 - Digital to Digital Frequency Transformation 57:00
Lecture 38 - FIR Design 57:47
Lecture - 39 FIR Digital Filter Design by Windowing 1:00:32
Lecture - 40 FIR Design by Windowing & Frequency Sampling 55:57
Lecture 41 - Solving Problems on DSP Structures 54:04
Lecture 42 - FIR Design by Frequency Sampling 57:10
Lecture - 43 FIR Design by Frequency Sampling (Contd.) 46:34

Digital Signal Processing by T. K. Basu (IIT Kharagpur)

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source: nptelhrd      2009年10月5日
Electrical - Digital Signal Processing by Prof. T. K. Basu, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

Lec-1 Discrete Time Signal and System 54:30
Lec-2 Discrete Time Signal and System(Contd...) 54:12
Lec-3 Discrete Time Signal and System(Contd...) 48:14
Lec-4 Frequency Domain Representation of Discrete Signals 53:45
Lec-5 Z-Transform 52:51
Lec-6 Z-Transform(Contd...) 54:59
Lec-7 Solution of Difference Equation 51:07
Lec-8 Tutorial on Discrete Time Signals&Their Transforms 58:13
Lec-9 Relation Between Discrete Time and Continuous Signals 52:46
Lec-10 Discrete Fourier Transform(DFT) 54:52
Lec-11 Discrete Fourier Transform(DFT) Contd... 55:07
Lec-12 Discrete Fourier Transform(DFT) Contd... 58:35
Lec-13 State Space Representation 57:55
Lec-14 Filters Introduction 56:14
Lec-15 FIR Filters 59:28
Lec-16 FIR Filters(Contd.) Introduction to IIR Filters 57:12
Lec-17 IIR Filters(Contd...) 55:42
Lec-18 IIR Filters(Contd...) 57:09
Lec-19 IIR Filters(Contd...) 57:45
Lec-20 Tutorial & Introduction to Computer Aided Design of Filters 57:26
Lec-21 Computer Aided Design of Filters 58:29
Lec-22 FFT and Computer Aided Design of Filters 57:31
Lec-23 Introduction to Lattice Filter 57:16
Lec-24 Lattice Filter(Contd...) 58:11
Lec-25 Effects of Quantization 57:49
Lec-26 Effects of Quantization(Contd...) 52:18
Lec-27 Effects of Quantization(Contd...) 50:02
Lec-28 Effects of Quantization(Contd...) 56:26
Lec-29 Random Signals 59:25
Lec-30 Relationship Between Real and Imaginary Parts of DTFT 54:43
Lec-31 Relationship Between Real and Imaginary Parts of DTFT 55:44
Lec-32 Relationship Between Real and Imaginary Parts of DTFT 55:25
Lec-33 Multi rate Signal Processing 55:17
Lec-34 Multi rate Signal Processing(Contd...) 59:15
Lec-35 Polyphase Decomposition 56:01

Digital Signal Processing (Spring 2015) - Shimon Michael Lustig / UCBerkeley

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source: UCBerkeley    Last updated on 2015年5月12日
Electrical Engineering 123, 001 - Spring 2015

2015-01-21 52:06
2015-01-23 52:51
2015-01-26 41:08
2015-01-28 52:04
2015-01-30 49:26
2015-02-02 49:46
2015-02-06 51:24
2015-02-09 51:15
2015-02-11 54:19
2015-02-13 51:22
2015-02-18 54:34
2015-02-23 51:17
2015-02-25 52:01
2015-02-27 50:24
2015-03-02 50:11
2015-03-04 50:51
2015-03-06 51:12
2015-03-09 47:32
2015-03-11 52:01
2015-03-13 52:07
2015-03-16 54:10
2015-03-18 54:14
2015-03-20 | LAST MINUTE OF LECTURE NOT AVAILABLE 54:43
2015-03-30 53:41
2015-04-01 51:28
2015-04-06 | FIRST 18 MINUTES OF AUDIO NOT AVAILABLE 52:06
2015-04-08 52:43
2015-04-10 51:18
2015-04-13 51:11
2015-04-15 52:29
2015-04-17 | LAST MIN OF LECTURE NOT AVAILABLE 52:38
2015-04-20 | LAST MIN OF LECTURE NOT AVAILABLE 53:17
2015-04-22: Node-Pore Sensing 54:15
2015-04-24: How signal processing changes optical imaging 45:18
2015-04-27 39:39
2015-04-29 51:19

Digital Signal Processing by Alan V. Oppenheim (1975, MIT)

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source: MIT OpenCourseWare     Last updated on 2014年7月1日
MIT RES.6-008 Digital Signal Processing, 1975
Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics.
View the complete course: http://ocw.mit.edu/RES6-008S11
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Lec 1 Introduction 17:42
Demonstration 1: Sampling, aliasing, and frequency response, part 1 28:15
Demonstration 2: Sampling, aliasing, and frequency response, part 2 12:05
Lec 2  Discrete time signals and systems, part 1 36:56
Lec 3 Discrete time signals and systems, part 2 43:48
Lec 4 The discrete time Fourier transform 44:08
Lec 5 The z transform 51:01
Lec 6 The inverse z transform 46:57
Lec 7  z-Transform properties 56:28
Lec 8 The discrete Fourier series 43:03
Lec 9 The discrete Fourier transform 47:33
Lec 10 Circular convolution 43:19
Lec 11 Representation of linear digital networks 46:12
Lec 12 Network structures for infinite impulse response (IIR) systems 40:09
Lec 13 Network structures for finite impulse response (FIR) systems and parameter quantization effects in digital filter structures 49:34
Lec 14 Design of IIR digital filters, part 1 47:31
Lec 15 Design of IIR digital filters, part 2 41:10
Lec 16 Digital Butterworth filters 48:39
Lec 17 Design of FIR digital filters 38:27
Lec 18 Computation of the discrete Fourier transform, part 1 48:57
Lec 19 Computation of the discrete Fourier transform, part 2 44:01
Lec 20 Computation of the discrete Fourier transform, part 3 44:58