Data Compression detail syllabus for Information Technology (IT), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCS-087), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other it 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit IT 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-6 subjects do refer to Departmental Elective-6. The detail syllabus for data compression is as follows.
Unit I
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit II
The Huffman coding algorithm: Minimum variance Huffman codes, Adaptive Huffman coding: Update procedure, Encoding procedure, Decoding procedure. Golomb codes, Rice codes, Tunstall codes, Applications of Hoffman coding: Loss less image compression, Text compression, Audio Compression.
Unit III
Coding a sequence, Generating a binary code, Comparison of Binary and Huffman coding, Applications: Bi-level image compression-The JBIG standard, JBIG2, Image compression. Dictionary Techniques: Introduction, Static Dictionary: Diagram Coding, Adaptive Dictionary. The LZ77 Approach, The LZ78 Approach, Applications: File Compression-UNIX compress, Image Compression: The Graphics Interchange Format (GIF), Compression over Modems: V.42 bits, Predictive Coding: Prediction with Partial match (ppm): The basic algorithm, The ESCAPE SYMBOL, length of context, The Exclusion Principle, The Burrows-Wheeler Transform: Moveto-front coding, CALIC, JPEG-LS, Multi-resolution Approaches, Facsimile Encoding, Dynamic Markoy Compression.
Unit IV
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit V
Advantages of Vector Quantization over Scalar Quantization, The Linde-Buzo-Gray Algorithm, Tree structured Vector Quantizers. Structured VectorQuantizers.
Reference Books:
- Khalid Sayood, Introduction to Data Compression, Morgan Kaufmann Publishers
- Elements of Data Compression,Drozdek, Cengage Learning
- Introduction to Data Compression, Second Edition, Khalid Sayood,The Morgan aufmann Series
- Data Compression: The Complete Reference 4th Edition byDavid Salomon, Springer
- Text Compression1st Edition by Timothy C. Bell Prentice Hall.
For detail syllabus of all other subjects of B.Tech It, 2019-20 regulation do visit It 8th Sem syllabus for 2019-20 Regulation.
Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.