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V Sem
Principles of Communications
Unit 1
Principles of communication
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9 KB
Analogy between Signal Spaces & Vector Spaces
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Repersentation of Signals
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Fourier Repersentation of Continuous time signals
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Fourier Repersentation of Continuous time signals (2)
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Examples of Continuous Fourier Transforms
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Continuous Fourier Transforms of Periodic Functions
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Sampling theorem & its importance
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Discrete time signal & their fourier transform
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Z- transforms
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Unit 2
Properties of Z- transform
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9 KB
Properties of Z- transform (2)
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Basic of Probability Theorem & Random process
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Random Process
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Random Process: Examples
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Random Process: Examples (2)
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Random Process through Linear filter
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Definition of bandwidth
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Unit 3
Definition of bandwidth
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9 KB
SSB Modulation
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9 KB
Angle modulation
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9 KB
Noise Analysis- AM, FM
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9 KB
Unit 4
Digital modulation
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9 KB
Uncertainity, Information & Entropy
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Information Theory & Source Coding
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Channel Coding
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Unit 5
Source coding
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9 KB
Channel Coding
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Error Control Coding
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Appendix: Some Definition
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9 KB
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