Information Theory And Coding



A digital communication system transmits a block of N bits. The probability of error in decoding a bit is alpha.The error event of each bit is independent of the. KTU S7 ECE Study Materials and Syllabus for EC401 Information Theory & Coding, EC403 Microwave & Radar Engg, EC405 Optical Communication, EC407 Computer Communication, EC409 Control Systems, EC451 Seminar & Project Preliminary, EC431 Communication Systems Lab (Optical & Microwave), EC461 Microwave Devices and Circuits, EC463 Speech and Audio Signal Processing, EC465 MEMS, EC467. Information theory and coding are the mathematical treatment of the ideas, parameters, and rules overseeing the transmission of messages through communication frameworks. Information theory and neural coding Information theory quantifies how much information a neural response carries about the stimulus. This can be compared to the information transferred in particular models of the stimulus-response function and to maximum possible information transfer. Such comparisons are crucial because they validate. Terms: Information and Coding Theory. Our goal is the creation of artificial intelligence! Lectures and tutorial on 'Information and Coding Theory' 1.

  1. Information Theory And Coding Vtu Notes Pdf
  2. Information Theory And Coding Mcq
  3. Information Theory And Coding Questions And Answers Pdf
  4. Coding Theory Pdf

Title, Concepts of Information Theory and Coding. Author, P. S. Satyanarayana. Publisher, MedTech, ISBN, , Length, CONCEPTS OF INFORMATION THEORY & CODING. Front Cover. P. S. Satyanarayana. Scientific International, – pages. Concepts of Information Theory & Coding [Paperback]. ISBN: Edition: 1st Edition. Author: P.S. Satyanarayana. Year: Pages:

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CONCEPTS OF INFORMATION THEORY & CODING. – P. S. Satyanarayana – Google Books

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Information Theory And Coding

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Information theory and coding pdf

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Module Number: EI70350

Duration: 1 Semester

Occurence: Winter Semester

Language: English

Number of ECTS: 5

Contact hours: 75

Self-study hours: 75

Total: 150

Description of achievement and assessment methods

Examination with the following elements: -Written examination

Exam type: written

Exam duration (min.): 90 Minutes

Possibility of retaking: In the next semester: Yes; at the end of the semester: No

Homework: No

Lecture: No

Conversation: No

Written paper: No

Basic principles of probability theory an statistics

Information Theory And Coding Vtu Notes Pdf

Contents

Review of probability theory. Uncertainty, mutual information, informational divergence, Fano's inequality, convexity. Source coding: Discrete Memoryless Sources, PRefix-Free codes, Shannon-Fano codes. huffman codes, Tunstall codes, Discrete Stationary Sources, Elias-WIllems universal souce coding. Typical sequences and sets. Channel coding: Discrete Memoryless Channels, Capacity. Relative entropy and additive white Gaussian noise channels.

Information Theory And Coding Mcq

The course covers the basic concepts of information theory, including entropy and mutual information, lossless data compression for memoryless and stationary sources, and reliable communication over memoryless channels.

After completion of the module the student is able to understand, apply analyse, and evaluate information theoretic principles for source and channel coding. He or she will be able to create source and channel codes, and formulas, for specific communication problems.

Teaching and learning methods

Coding
  • Learning method: Lectures, tutorials, exercises, individual study
  • Teaching method: The students are instructed in an explorative teaching style

Information Theory And Coding Questions And Answers Pdf

Literature

Further reading:

Coding Theory Pdf

  • Cover, T., Thomas, J.: Elements of Information Theory, Wiley-Interscience; 2nd edition