NE9214 INFORMATION THEORY AND CODING SYLLABUS | ANNA UNIVERSITY ME NETWORK ENGINEERING 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIRST SEMESTER M.E NETWORK ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
NE9214 INFORMATION THEORY AND CODING LT P C
3 0 0 3
UNIT I INFORMATION THEORY 9
Information entropy and Mutual Information, Markov Sources, Capacity of the Discrete
Noiseless Channel, – source encoding, Shannon’s first fundamental theorem, source
with finite memory, discrete channel with discrete noise,
UNIT II LOSSLESS COMPRESSION 9
Compression principles-source encoders and destination encoders-entropy encoding –
source encoding -text compression –static Huffman coding dynamic coding –arithmetic
coding –Lempel ziv-welsh Compression.
UNIT III AUDIO, IMAGE AND VIDEO COMPRESSION 9
Audio compression–DPCM-Adaptive PCM –adaptive predictive coding-linear Predictive
coding-code excited LPC-perpetual coding -JPEG ,JBIG,Video compression –principles-
H.261-H.263-MPEG 1, 2, 4.
UNIT IV BLOCK AND CYCLIC CODES 9
Structure of Linear block codes, Matrix description of linear block codes, hamming code,
polynomial description of cyclic codes, matrix description, cyclic codes for correcting
double error, first error correction.
UNIT V CONVOLUTIONAL CODES 9
Trees, and Trellis diagram, polynomial and matrix description of convolution codes, error
correction, and some simple convolution codes, syndrome decoding, viterbi algorithm..
. TOTAL: 45 PERIODS
REFERENCES
1. Fred Halsall, “Multimedia Communications, Applications Networks Protocols &
Standards”, Pearson education, Asia 2002;
2. Simon Haykin, Digital Communication,John Wiley ,2007
3. Proakis, J.G. “Digital Communication”, McGraw-Hill, New York 1989.
4. Benede Ho. S, Biglieri E, Principles of Digital Transmission with wireless applications,
Planum series in Telecommunications, 1999.
5. Viterbi, A J and Omura J K, Principles of Digital Communication and Coding, McGraw
Hill 1979.
6. Blahut R.E, Theory and practice of error control codes, Addition Wesley publication
company, London1984.
NE9214 INFORMATION THEORY AND CODING LT P C
3 0 0 3
UNIT I INFORMATION THEORY 9
Information entropy and Mutual Information, Markov Sources, Capacity of the Discrete
Noiseless Channel, – source encoding, Shannon’s first fundamental theorem, source
with finite memory, discrete channel with discrete noise,
UNIT II LOSSLESS COMPRESSION 9
Compression principles-source encoders and destination encoders-entropy encoding –
source encoding -text compression –static Huffman coding dynamic coding –arithmetic
coding –Lempel ziv-welsh Compression.
UNIT III AUDIO, IMAGE AND VIDEO COMPRESSION 9
Audio compression–DPCM-Adaptive PCM –adaptive predictive coding-linear Predictive
coding-code excited LPC-perpetual coding -JPEG ,JBIG,Video compression –principles-
H.261-H.263-MPEG 1, 2, 4.
UNIT IV BLOCK AND CYCLIC CODES 9
Structure of Linear block codes, Matrix description of linear block codes, hamming code,
polynomial description of cyclic codes, matrix description, cyclic codes for correcting
double error, first error correction.
UNIT V CONVOLUTIONAL CODES 9
Trees, and Trellis diagram, polynomial and matrix description of convolution codes, error
correction, and some simple convolution codes, syndrome decoding, viterbi algorithm..
. TOTAL: 45 PERIODS
REFERENCES
1. Fred Halsall, “Multimedia Communications, Applications Networks Protocols &
Standards”, Pearson education, Asia 2002;
2. Simon Haykin, Digital Communication,John Wiley ,2007
3. Proakis, J.G. “Digital Communication”, McGraw-Hill, New York 1989.
4. Benede Ho. S, Biglieri E, Principles of Digital Transmission with wireless applications,
Planum series in Telecommunications, 1999.
5. Viterbi, A J and Omura J K, Principles of Digital Communication and Coding, McGraw
Hill 1979.
6. Blahut R.E, Theory and practice of error control codes, Addition Wesley publication
company, London1984.
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