Well known data compression techniques are evaluated.  For this, starting from introduction to information theory, the subjects of entropy coding, variable length coding, Huffman, Shannon-Fano, Arithmetic, Lempel-Ziv coding, RLE, transform coding, image transforms used in compression, JPEG, MPEG and vector quantization are discussed.

We will have 3-4 homework exams (mostly coding in Octave) to be evaluated for grading. 

Current Slidesets :

DComp_1_IntroInfo.pdf

DComp_2_EntropyCoding.pdf

DComp_3_Resampling.pdf

DComp_4_Predictive.pdf

DComp_5_TransformCoding.pdf

DComp_6_JPEG.pdf

DComp_7_MPEG.pdf

Textbook:

Introduction to Data Compression, 2017, K. Sayood, Elsevier.