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Questions and Answers
Code has dmin = 1. How many errors can be detected by this code?
Code has dmin = 1. How many errors can be detected by this code?
- 0
- 3
- 1 (correct)
- 2
Flashcards
Hamming Distance
Hamming Distance
The minimum number of positions in which two code words differ.
Hamming Code
Hamming Code
A method of error control coding that adds redundant bits to a message to detect and correct errors during transmission.
Uniform Code
Uniform Code
A type of code that uses a fixed-length codeword for each symbol in the alphabet.
Non-Uniform Code
Non-Uniform Code
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Encoding
Encoding
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Decoding
Decoding
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Entropy
Entropy
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Code Rate (R)
Code Rate (R)
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Efficiency of the Language
Efficiency of the Language
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I average
I average
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Information (I)
Information (I)
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Amount of Information
Amount of Information
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Error Detection
Error Detection
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Error Correction
Error Correction
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Conditional Entropy (H(Y|X))
Conditional Entropy (H(Y|X))
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Huffman Code
Huffman Code
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Prefix Code
Prefix Code
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Error Control Coding
Error Control Coding
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Redundancy
Redundancy
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Error Correction Code
Error Correction Code
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Block Code
Block Code
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Convolution Code
Convolution Code
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Shannon-Fano Coding
Shannon-Fano Coding
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Bit
Bit
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Dit
Dit
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Nit
Nit
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Sample Space
Sample Space
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Hamming Distance
Hamming Distance
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Parity Bit
Parity Bit
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Hamming (7,4) Code
Hamming (7,4) Code
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Hamming (31, 26) Code
Hamming (31, 26) Code
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Hamming (15, 11) Code
Hamming (15, 11) Code
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Study Notes
Code Error Detection and Correction
- dmin = 1: Detects 1 error
- dmin = 2: Detects 1 error, corrects 0 errors
- dmin = 3: Detects 2 errors, corrects 1 error
- dmin = 4: Detects 3 errors, corrects 1 error
- dmin = 5: Detects 4 errors, corrects 2 errors
- dmin = 6: Detects 5 errors, corrects 2 errors
- dmin = 7: Detects 6 errors, corrects 3 errors
- dmin = 8: Detects 7 errors
- dmin = 9: Detects 8 errors, corrects 4 errors
- dmin = 10: Detects 9 errors
- dmin = 11: Detects 10 errors, corrects 5 errors
- dmin = 12: Detects 11 errors
Code Rate
- Code rate R is defined as R = k/n, where k is the number of information bits and n is the total number of bits.
Conditional Entropy
- Conditional entropy H(Y|X) lies between 0 and H(Y).
Hamming Distance
- Hamming distance for detecting 3 errors and correcting 2 errors is 6
- Hamming distance for detecting 3 errors and correcting 1 error is 5
- Hamming distance for detecting 5 errors and correcting 3 errors is 9
Hamming (7,4) Code Encoding
- Specific encoding examples for different input strings are given. These include strings like "0000", "0001", "0010", and so on.
Error Correction Code Types
- Error control coding is a method for detecting and correcting errors in digital communication systems
- Optimal coding is a coding technique seeking the highest possible rate of transmission
- Block coding involves separating messages into independent blocks for error detection and correction
- Convolution coding uses an algorithm to process data, correcting errors in the message
Information and Redundancy
- Redundancy, in information theory, is the measure of the extra bits in a message relative to the minimum necessary.
- The amount of information in a message is related to the size of the alphabet and the length of the message. For instance, if the message has length 16 and is composed of an alphabet of 32 characters, the amount of information contained could be 80 bits.
Questions Related to Information Theory and Coding
- Various questions assess knowledge in areas like Huffman coding, Shannon-Fano codes, Hamming distances, code rate, and error correction codes.
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