Chapter 5 Information Theory and Coding In communication systems‚ information theory‚ pioneered by C. E. Shannon‚ generally deals with mathematical formulation of the information transfer from one place to another. It is concerned with source coding and channel coding. Source coding attempts to minimize the number of bits required to represent the source output at a given level of efficiency. Channel coding‚ on the other hand‚ is used so that information can be transmitted through the channel with
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case is more difficult because optimal general purpose strategies are not yet known. Erasure Coding is the field of research that deals with these strategies‚ and this field has blossomed in recent years. Despite this research‚ the decades-old ReedSolomon erasure code remains the only space-optimal (MDS) code for all but the smallest storage systems. The best performing implementations of Reed-Solomon coding employ a variant
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EC51-DIGITAL COMMUNICATION UNIT-1 DIGITAL COMMUNICATION SYSTEM 1. What are the advantages of digital transmission? The advantage of digital transmission over analog transmission is noise immunity. Digital pulses are less susceptible than analog signals to variations caused by noise. Digital signals are better suited to processing and multiplexing than analog signals. Digital transmission systems are more noise resistant than the analog transmission systems. Digital systems are better suited to evaluate
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Education‚ 2nd edition‚ 2005. 2. Andreas Antoniou‚ “Digital Signal Processing”‚ Tata McGraw Hill‚ 2001 IT2303 INFORMATION THEORY AND CODING 3 0 0 3 UNIT I INFORMATION THEORY 9 Information – Entropy‚ Information rate‚ classification of codes‚ Kraft McMillan inequality‚ Source coding theorem‚ Shannon-Fano coding‚ Huffman coding‚ Extended Huffman coding - Joint
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Some Applications of Coding Theory in Cryptography ii CIP-DATA LIBRARY TECHNISCHE UNIVERSITEIT EINDHOVEN Doumen‚ Jeroen M. Some applications of coding theory in cryptography / by Jeroen M. Doumen. – Eindhoven : Technische Universiteit Eindhoven‚ 2003. Proefschrift. – ISBN 90-386-0702-4 NUR 919 Subject headings : cryptology / coding theory / prime numbers 2000 Mathematics Subject Classification : 94A60‚ 11T71‚ 11A41 Printed by Eindhoven University Press. Cover by JWL Producties. Kindly supported
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DPCM - Overview Principle of Differential Pulse Code Modulation (DPCM) Characteristics of DPCM quantization errors Predictive coding gain Adaptive intra-interframe DPCM Conditional Replenishment Bernd Girod: EE398B: Image Communication II DPCM no. 1 Principle of DPCM input s + e quantizer + s predictor + s’ e’ entropy coder channel coder output s’ + predictor s + e’ entropy decoder channel decoder Prediction error Reconstruction Reconstruction error = quantization
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BCA SEM I / BCA 1040 / Unit 1 Logic Design Self Assessment Questions 1.2 1. Decimal means base __________. 2. The decimal value of the bit pattern 11111111 is _________. 3. The range of values represented by an 8-bit binary number is _____. 4. The binary equivalent of 228 is _________. 5. The result of 7 – 2 using 1’s complement notation is 6. The bit pattern 1011 in 1’s complement notation is 7. The result of 7 – 2 using 2’s complement notation is 8. The bit pattern 1110 in 2’s complement
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These theories originated from the dual theory of (Doeringer and Piore 1971; Piore 1975 who were working on the labor market discrimination especially towards the disadvantaged groups such as the immigrants‚ ethnic minorities or the women. Apostole‚ Clairmont and Osberg state that the theory has developed essentially as a critique of‚ or supplement to explanations of employment-based differential
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KATHMANDU UNIVERSITY School Of Engineering Department of Electrical and Electronics Assignment #2 Submitted by: Submitted to : Amar Shrestha Mr. Brajesh Mishra Roll- 32024 ________________________________________________________________ LINEAR BLOCK CODES A systematic (n‚k) linear block code is a mapping from a k-dimensional message vector to an ndimensional codeword in such a way that part of the sequence generated coincides with the k message
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5.2.4 Carry Skip Adder A carry-skip adder (also known as a carry-bypass adder) is an adder implementation that improves on the delay of a ripple-carry adder. The two addends are split in blocks of n bits. The output carry of each block is dependent on the input carry only if‚ for each of the n bits in the block‚ at least one addend has a 1 bit (see the definition of carry propagation at Carry-look ahead adder). The output carry Coi+n-1‚ for the block corresponding to bits i to i+n-1 is obtained from
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