Signals and Systems: From basics to advance(Course-1)

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13:37:38

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1 - Introduction

1 - Definition of signal and system.mp4

06:31

2 - Independent Variables Time and frequency.mp4

06:17

3 - Note on independent variables.mp4

01:50

4 - Primary classification of signals.mp4

06:46

5 - Construction of a discrete domain signal.mp4

06:49

6 - Finite duration sequence and definition of sampling and interpolation.mp4

05:52

7 - Time shifting operation01.mp4

12:49

8 - Time shifting operation02.mp4

09:04

9 - Time scaling operation in CT domain.mp4

09:23

10 - Time compression in DT domain.mp4

10:59

11 - Time expansion in DT domain01.mp4

12:26

12 - Time expansion in DT domain02.mp4

06:46

13 - Time inversion.mp4

08:03

14 - Amplitude inversion.mp4

07:07

15 - Order of precedence in CT domain.mp4

11:56

16 - Order of precedence in DT domain.mp4

13:07

17 - Solved example01.mp4

05:18

18 - Solved example02.mp4

07:42

19 - Solved example03.mp4

05:24

20 - Solved example04.mp4

07:21

2 - Classification of signals

21 - Periodic signal construction.mp4

07:45

22 - Periodic signal fundamental period and fundamental frequency.mp4

06:22

23 - Periodic signal in DT domain.mp4

04:42

24 - Summation of periodic signals.mp4

07:18

25 - Solved example01.mp4

09:44

26 - Example for periodic signalSinusoidal signals.mp4

09:51

27 - Sinusoidal signals in DT domain.mp4

05:11

28 - L28.mp4

02:38

29 - Difference between CT and DT domain sinusoidal signals01.mp4

06:20

30 - Difference between CT and DT domain sinusoidal signals02.mp4

07:49

31 - Solved example02.mp4

05:25

32 - Solved example03.mp4

05:39

33 - Solved example04.mp4

04:16

34 - Solved example05.mp4

07:34

35 - Solved example06.mp4

02:18

36 - Solved example07.mp4

04:27

37 - Example for aperiodic signals real exponential signal.mp4

06:18

38 - Real exponential signals in DT domain.mp4

06:04

39 - Engery and power signal Basic definitions.mp4

08:56

40 - Energy and power signal Mathematical expressions.mp4

08:52

41 - Energy and power expressionsSummary.mp4

08:00

42 - Root Mean SquareRMS value.mp4

01:39

43 - Operations performed on energy signal.mp4

05:14

44 - Operations performed on power signal.mp4

08:02

45 - Average power calculation of sinusoidal signals01.mp4

09:39

46 - Average power calculation of sinusoidal signals02.mp4

09:22

47 - Solved example08.mp4

06:49

48 - Solved example09.mp4

11:00

49 - Solved example10.mp4

02:24

50 - Solved example11.mp4

08:46

51 - Even and Odd signalsDefinition.mp4

11:11

52 - Real signal as a combination of even and odd signals.mp4

05:36

53 - Area of even and odd signals.mp4

05:58

54 - Conjuage symmetric and Conjuage anti symmetric signals.mp4

08:14

55 - CS and CAS signalscontd.mp4

04:09

56 - Solved example12.mp4

03:56

57 - Solved example13.mp4

05:29

58 - Solved example14.mp4

04:43

59 - Solved example15.mp4

05:25

3 - Standard signals

60 - Unit impulse signal in CT and DT domains.mp4

08:09

61 - Area of unit impulse.mp4

07:18

62 - Sampling property.mp4

07:56

63 - Sampling property in DT domain.mp4

04:28

64 - Sifting property.mp4

09:34

65 - Scaling property.mp4

07:47

66 - Differentiation property.mp4

09:59

67 - Impulse train.mp4

07:57

68 - Discrete time signal as combination of impulses.mp4

09:46

69 - Continuous time signal as combination of impulses.mp4

08:01

70 - Solved example01.mp4

01:57

71 - Solved example02.mp4

05:26

72 - Solved example03.mp4

05:29

73 - Solved example04.mp4

04:33

74 - Unit step signal definition.mp4

05:18

75 - Practice step signal.mp4

05:45

76 - Unit step scaling.mp4

06:56

77 - Energy and power of step signal.mp4

06:46

78 - Even and Odd components of unit step signal.mp4

04:44

79 - Combination of step signals.mp4

05:56

80 - Causal signal definition wrt to step signal.mp4

06:41

81 - Causal signals in DT domain.mp4

04:21

82 - Causality conditionexamples.mp4

06:32

83 - Significance of step signal.mp4

12:14

84 - Energy calculation for real exponential signals.mp4

09:10

85 - Energy of real exponential signalssummary.mp4

05:21

86 - Energy of real exponential signals in DT domain.mp4

09:24

87 - Relation between unit step and unit impulse01.mp4

04:01

88 - Relation between unit step and unit impulse02.mp4

08:43

89 - Relation between step and impulseSummary.mp4

07:59

90 - Signum function.mp4

04:24

91 - Solved example05.mp4

05:28

92 - Solved example06.mp4

04:44

93 - Solved example07.mp4

06:11

94 - Solved example08.mp4

05:55

95 - Solved example09.mp4

09:27

96 - Solved example10.mp4

09:27

97 - Unit ramp signal definition.mp4

07:40

98 - Ramp signal scaling.mp4

07:38

99 - Combination of ramp signals.mp4

09:34

100 - Triangular pulse.mp4

09:45

101 - Relation between rampstepimpulse.mp4

11:38

102 - Solved example11.mp4

11:26

103 - Solved example12.mp4

04:07

104 - Sinc function and Sampling function.mp4

10:05

105 - Sinc function in discrete time domain.mp4

07:10

4 - System properties

106 - System properties.mp4

05:54

107 - Linearity.mp4

08:48

108 - Linearity graphical representation.mp4

05:06

109 - Step by step procedure for finding linearity of a system.mp4

03:26

110 - Linearity standard example set01.mp4

06:56

111 - Linearity standard example set02.mp4

06:32

112 - Linearitystandard example set03.mp4

02:32

113 - Linearity standard example set04.mp4

06:00

114 - LinearitySpecial case.mp4

03:10

115 - Time invariancedefinition.mp4

05:19

116 - Procedure to determine time invariance.mp4

02:49

117 - Time invarianceStandard example set01.mp4

05:29

118 - Time invarianceStandard example set02.mp4

04:01

119 - Time invarianceStandard example set03.mp4

04:11

Description

Fundamentals of signal processing in Continuous time domain and in Discrete time domain

What You'll Learn?

Basic definitions of Continuous and discrete signals and opertions on time
Periodic and aperiodic signals
Energy and power signals
Even and odd signals
Singularity functions like unit impulse, unit step and unit impulse signals
System defintion and properties
Basic convolution in continuous and discrete time domains

Who is this for?

Undergraduate engineering students with Electrical engineering, Electronics engineering, Biomedical engineering, Instrumentation engineering as specialisation

Diploma/Polytechnic students with Electronics engineering, Communication engineering, Instrumentation as specialisation

GATE and PSU preparing students

Any Electronics or communication engineer who wants strengthen signal processing fundamentals

More details

Description
This is an undergraduate course on signals and systems. This course is first one in a series of two courses on basics of signals and systems
For any electrical, electronics, Instrumentation or bio-medical engineering student understanding basics of signals in continuous time(CT) domain and in discrete time(DT) domain is a must. This course gives an in-depth coverage of all the fundamentals required for signal processing in both the domains. This can also be taken as a refresher course to understand 'Digital signal processing'.

The organisation and coverage of topics is as follows:

Introduction to signals: This module begins with basic definition of signal and system. The primary classification of signals and independent variables in signal representation are well explained. Then we will move on to the operations performed on independent variable like time and their order of precedence.

Classification of signals: Periodic and aperiodic signal classification is explained with sinusoidal signals and real exponential signals in detail. Another classification energy and power signals is given with all necessary examples. Finally, even and odd signals classification and its extension conjugate symmetric and conjugate anti symmetric signal classification is explained.

Standard signals: An in-depth coverage ofÂ singularity functions like unit-impulse, unit-step and unit-ramp signals are given in this chapter. All these signals are defined graphically and mathematically in both CT and DT domains. Properties of signals and relation between singularity functions is also explained. And other signals like signum function, sinc function etc., are also covered.

System properties: All the system properties that is Linearity, time invariance, causality, stability, memory and invertibility are well explained with standard examples.

About Author:
Mr. Udaya Bhaskar is an undergraduate university level faculty and GATE teaching faculty with more than 16 years of teaching experience. His areas of interest are signal processing, semiconductors, digital design and other fundamental subjects of electronics.Â He trained thousands of students for GATE and ESE examinations.
Who this course is for:
Undergraduate engineering students with Electrical engineering, Electronics engineering, Biomedical engineering, Instrumentation engineering as specialisation
Diploma/Polytechnic students with Electronics engineering, Communication engineering, Instrumentation as specialisation
GATE and PSU preparing students
Any Electronics or communication engineer who wants strengthen signal processing fundamentals

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