EC761 Information Processing and Compression

Course Name: 

EC761 Information Processing and Compression

Programme: 

M.Tech(SPML)

Semester: 

First

Category: 

Programme Core (PC)

Credits (L-T-P): 

(4-0-0) 4

Content: 

Introduction to Information theory, Entropy and Inference. Mathematical preliminaries for Lossless compression, Shannon's Source Coding Theorem Huffman coding, Arithmetic Coding, LZW coding. Mathematical preliminaries for lossy compression, quantization and the Lloyd-Max Algorithm, rate-distortion theory, Scalar and vector quantization, Transform coding, Subband coding.

References: 

Khalid Sayood, Introduction to Data Compression, Morgan Kaufman, 5th Ed. 2018.
David McKay, Information Theory, Inference and Learning Algorithms, Cambridge University Press, 2003.
David Solomon, Handbook of Data Compression, Springer, 2010.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Dr. T. Laxminidhi,  Professor and Head, 
Department of E&C, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

  • Hot line: +91-0824-2473046

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