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Information Theory and Coding Notes - Akshansh
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Engineering, Technology
Jun. 10, 2014
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Information Theory and Coding Notes - Akshansh

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Engineering, Technology
Jun. 10, 2014
9,621 views

Introduction, Random variables, entropy, fano inequality, kraft inequality, huffman codes, shannon fano elias, channel capacity, joint source coding and separation, linear block codes, rate distortion theory, number theory, cryptography, private encryption algorithms, message authentication

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Information Theory and Coding Notes - Akshansh

  1. 1. DISCLAIMER: While the document has attempted to make the information as accurate as possible, the information on this document is for personal and/or educational use only and is provided in good faith without any express or implied warranty. There is no guarantee given as to the accuracy or currency of any individual items. The document does not accept responsibility for any loss or damage occasioned by use of the information contained and acknowledges credit of author(s) where ever due. While the document makes every effort to ensure the availability and integrity of its resources, it cannot guarantee that these will always be available, and/or free of any defects, including viruses. Users should take this into account when accessing the resources. All access and use is at the risk of the user and owner reserves that right to control or deny access. Information, notes, models, graph etc. provided about subjects, topics, units, courses and any other similar arrangements for course/paper, are an expression to facilitate ease of learning and dissemination of views/personal understanding and as such they are not to be taken as a firm offer or undertaking. The document reserves the right to discontinue or vary such subjects, topic, units, courses, or arrangements at any time without notice and to impose limitations on accessibility in any course. Information Theory and Coding Notes, First Edition Copyright © 2013 Akshansh ALL RIGHTS RESERVED. Presented by: Akshansh Chaudhary Graduate of BITS Pilani, Dubai Campus Batch of 2011 Course content by: Dr. Anand Kumar Then Faculty, BITS Pilani, Dubai Campus Layout design by: AC Creations © 2013 The course content was prepared during Spring, 2014. More content available at: www.Akshansh.weebly.com
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  • DEVDINESH1

    May. 3, 2017

Introduction, Random variables, entropy, fano inequality, kraft inequality, huffman codes, shannon fano elias, channel capacity, joint source coding and separation, linear block codes, rate distortion theory, number theory, cryptography, private encryption algorithms, message authentication

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