mod02lec11-Shifting and Scaling in Continuous Time - I
13
mod02lec12-Shifting and Scaling in Continuous Time - II
14
mod02lec13-Shifting and Scaling in Discrete Time
15
mod02lec14-Signal and Noise
16
mod02lec15-Signals in the Physical World
17
mod02lec16-Signals and Sensory Perception
18
Frequency Domain Representation
19
Definition of Fourier Transform
20
Fourier Transform Examples - I
21
Dirichlet Conditions
22
Inverse Fourier Transform
23
Fourier Transform Examples - II
24
Frequency-Time Uncertainty Relation
25
Fourier Transform : Linearity, Time Shifting and Time Scaling
26
Fourier Transform : Derivative Property
27
Fourier Transform : Multiplication and Convolution Property
28
Fourier Transform : Integral Property
29
Fourier Transform Example - III
30
Fourier Transform Example - IV
31
Fourier Transform of Noise
32
Types of Noise
33
Overview of Systems and General Properties
34
Linearity and Time Invariance
35
LTI System Examples
36
Frequency Response of RLC circuits - I
37
Frequency Response of RLC circuits - II
38
LCCDE Representation of Continuous-Time LTI Systems
39
Frequency Domain Representation of LCCDE Systems
40
Time Domain Representation of LTI Systems
41
Continuous-Time Convolution Integral
42
Continuous-Time Convolution Example I
43
Continuous-Time Convolution Example II
44
Continuous-Time Convolution Example III
45
LTI Systems : Commutative, Distributive and Associative
46
LTI Systems : Memorylessness and Invertibility
47
LTI Systems : Causality and Stability
48
Fourier Transform in Complex Frequency Domain
49
Laplace Transform : Poles and Zeros
50
Laplace Transform : Region of Convergence [ROC]
51
Laplace Transform Examples I
52
Laplace Transform Examples II
53
Laplace Analysis of LTI Systems
54
Laplace Analysis of RLC Circuits I
55
Laplace Transform : Linearity, Shifting and Scaling
56
Laplace Transform : Derivative and Integral
57
Laplace Transform : Causality and Stability
58
Laplace Analysis of LTI Systems Example I
59
Laplace Analysis of LTI Systems Example II
60
Laplace Analysis of First Order RLC Circuits
61
Laplace Analysis of Second Order RLC Circuits
62
Fourier Transform of Periodic Signals
63
Fourier Series Representation in Continuous-Time
64
Fourier Series Properties I
65
Fourier Series Properties II
66
LTI System Response for Periodic Input Signal
67
Fourier Series in Continuous-Time : Examples I
68
Fourier Series in Continuous-Time : Examples II
69
mod10lec68-Discrete-Time Convolution Sum
70
mod10lec69-Discrete-Time Convolution Sum Examples and Properties
71
mod10lec70-LCCDE Representation of Discrete-Time LTI Systems
72
mod10lec71-Impulse Train Sampling
73
mod10lec72-Reconstruction of Continuous-Time Signal
74
mod10lec73-Nyquist Sampling Theorem and Aliasing
75
mod11lec74-Fourier Transform of Sampled Signals
76
mod11lec75-DTFT Examples I
77
mod11lec76-DTFT Properties I
78
mod11lec77-DTFT Properties II
79
mod11lec78-DTFT Properties III
80
mod11lec79-DTFT Examples II
81
mod12lec80-DTFT in Complex Frequency Domain
82
mod12lec81-Z-Transform : Properties of ROC
83
mod12lec82-Z-Transform Properties II
84
mod12lec83-Z-Transform Properties II
85
mod12lec84-Z-Transform Properties III
86
mod12lec85-Z-Transform Examples I
87
mod12lec86-Z-Transform Examples II
88
mod12lec87-Block Diagram Representation
Description:
NOTE: In this course, the explanation will be in Hindi, but the scientific terms, assignments and exams will be in English.
COURSE OUTLINE: This course will introduce the students to the basics of signal processing and systems analysis. We will focus on continuous-time signals and systems, but also give an introduction to discrete-time signals and systems towards the end of the course. This is a very important course for all engineers working in the electronics and communications domain.