Information Coding Techniques
Information Entropy FundamentalsUncertainty, Information and entropy - Source coding theorem - Huffman coding - Shannon fano coding - Discrete memory less channels - Channel capacity - Channel coding theorem - Channel capacity theorem.Data and Voice CodingDifferential pulse code modulation - Adaptive differential pulse code modulation - Adaptive subband coding - Delta modulation - Adaptive delta modulation - Coding of speech signal at low bit rates (Vocoders, LPC).Error Control CodingLinear block codes - Syndrome decoding - Minimum distance consideration - Cyclic codes - Generator polynomial - Parity check polynomial - Encoder for cyclic codes - Calculation of syndrome - Convolutional codes.Compression TechniquesPrinciples - Text compression - Static Huffman coding - Dynamic Huffman coding - Arithmetic coding - Image compression - Graphics interchange format - Tagged image file format - Digitized documents - Introduction to JPEG standards.Audio and Video CodingLinear predictive coding - Code excited LPC - Perceptual coding, MPEG audio coders - Dolby audio coders - Video compression - Principles - Introduction to H.261 & MPEG Video standards.
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apter1 Information Entropy Fundamentals
Chapter 4 Compression Techniques 4i to 426
apter5 AudtfancfeP Coding 5tto24
algorithm arithmetic coding bandwidth binary digits bit allocations bit rate bits/symbol block diagram channel capacity check bits code efficiency code tree code trellis code vector codeword coefficients compression constraint length convolutional codes convolutional encoder cyclic code delta modulation determine discrete memoryless DPCM encoder of Fig entropy equation becomes error correcting error pattern error vector example frequency given by equation Hamming codes Hence above equation Huffman coding information rate Iog2 JPEG linear block code macroblock Marks maximum message bit message vector metric minimum distance mutual information node noise power noise ratio number of bits Nyquist rate obtain output sequence P-frame P(yi parity check matrix path polynomial probabilities of occurrence quantization error received vector represents row of HT sample shift register shown in Fig signal to noise slope overload distortion Solution step subband symbols syndrome vector theorem transmission transmitted trellis diagram x(nTs zero