NotesKhan
IT6002 INFORMATION THEORY AND CODING TECHNIQUES L T P C
3 0 0 3
OBJECTIVES:
The student should be made to:
UNIT I INFORMATION ENTROPY FUNDAMENTALS 9
Uncertainty, Information and Entropy – Source coding Theorem – Huffman coding –Shannon Fano coding – Discrete Memory less channels – channel capacity – channel coding Theorem – Channel capacity Theorem.
UNIT II DATA AND VOICE CODING 9
Differential 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).
UNIT III ERROR CONTROL CODING 9
Linear Block codes – Syndrome Decoding – Minimum distance consideration – cyclic codes –
Generator Polynomial – Parity check polynomial – Encoder for cyclic codes – calculation of syndrome
– Convolutional codes.
UNIT IV COMPRESSION TECHNIQUES 9
Principles – 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.
UNIT V AUDIO AND VIDEO CODING 9
Linear Predictive coding – code excited LPC – Perceptual coding, MPEG audio coders – Dolby audio coders – Video compression – Principles – Introduction to H.261 & MPEG Video standards.
OUTCOMES:
Upon completion of the course, the student should be able to:
TOTAL : 45 PERIODS
TEXT BOOKS:
REFERENCES:
IT6002 INFORMATION THEORY AND CODING TECHNIQUES L T P C
3 0 0 3
OBJECTIVES:
The student should be made to:
- Understand error–control coding.
- Understand encoding and decoding of digital data streams.
- Be familiar with the methods for the generation of these codes and their decoding techniques.
- Be aware of compression and decompression techniques.
- Learn the concepts of multimedia communication.
UNIT I INFORMATION ENTROPY FUNDAMENTALS 9
Uncertainty, Information and Entropy – Source coding Theorem – Huffman coding –Shannon Fano coding – Discrete Memory less channels – channel capacity – channel coding Theorem – Channel capacity Theorem.
UNIT II DATA AND VOICE CODING 9
Differential 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).
UNIT III ERROR CONTROL CODING 9
Linear Block codes – Syndrome Decoding – Minimum distance consideration – cyclic codes –
Generator Polynomial – Parity check polynomial – Encoder for cyclic codes – calculation of syndrome
– Convolutional codes.
UNIT IV COMPRESSION TECHNIQUES 9
Principles – 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.
UNIT V AUDIO AND VIDEO CODING 9
Linear Predictive coding – code excited LPC – Perceptual coding, MPEG audio coders – Dolby audio coders – Video compression – Principles – Introduction to H.261 & MPEG Video standards.
OUTCOMES:
Upon completion of the course, the student should be able to:
- Design an application with error–control.
- Use compression and decompression techniques.
- Apply the concepts of multimedia communication
TOTAL : 45 PERIODS
TEXT BOOKS:
- Simon Haykin, “Communication Systems”, 4th Edition, John Wiley and Sons, 2001.
- Fred Halsall, “Multimedia Communications, Applications Networks Protocols and Standards”,
REFERENCES:
- Mark Nelson, “Data Compression Book”, BPB Publication 1992.
- Watkinson J, “Compression in Video and Audio”, Focal Press, London, 1995.
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