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Information Theory & Coding Notes VSSUT – ITC Notes VSSUT of Total Complete Notes
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Information Theory & Coding Notes VSSUT – ITC Notes VSSUT
Module – 1
Information Theory and Source Coding
Introduction to Information Theory, Uncertainty and Information,
Average Mutual Information and Entropy,
Information Measures for Continuous Random Variables,
waveform sources Amplitude Quantizing: quantizing noise, uniform quantizing,
non-uniform quantizing Differential Pulse Code Modulation: one – tap prediction,
N-tap prediction, delta modulation, sigma delta modulation,
sigma delta A-to-D convertor(ADC), sigma delta D-to -A convertor(DAC) Block coding:
vector quantizing, Transform Coding: quantization for transform coding,
Link: Module 1 – Information Theory and Coding Notes
Module – 2
Waveform coding
Antipodal and Orthogonal signals, Orthogonal and Biorthogonal codes,
waveform coding system example, Types of error control: Terminal connectivity,
automatic repeat request Structured Sequence: Channel models,
Channel capacity, Channel coding, Information Capacity Theorem,
The Shannon Limit, Introduction to Error correcting codes, code rate & redundancy,
parity check codes: Single parity check code, Rectangular code Linear Block codes:
Link: Module 2 – Information Theory and Coding Notes
Module – 3
Convolutional Encoding
Convolutional Encoder Representation: connection representation,
state representation & the state diagram, the tree diagram,
the trellis diagram Formulation of the Convolutional Decoding Problem:
maximum likelihood decoding, channel models: hard versus soft decisions,
Viterbi Convolutional Decoding Algorithm, an example of viterbi convolutional decoding,
decoder implementation, path memory and synchronization Properties of Convolutional Codes:
distance properties of convolutional codes, systematic & nonsystematic convolutional codes,
Link: Module 3 – Information Theory and Coding Notes
Module – 4
Reed-Solomon Codes
Reed-Solomon Error Probability, Why R-S codes perform well against burst noise,
R-S performance as a function of size, redundancy,
and code rate Interleaving & Concatenated Codes: Block interleaving, Convolutional interleaving,
concatenated codes Coding & Interleaving Applied to CD Digital Audio System:
CIRC encodings, CIRC decoding, interpolation & muting Turbo Codes:
turbo code concepts, log-likelihood algebra
Link: Module 4 – Information Theory and Coding Notes
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