Error Detection and Correction in Code

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Questions and Answers

Code has dmin = 1. How many errors can be detected by this code?

  • 0
  • 3
  • 1 (correct)
  • 2

Flashcards

Hamming Distance

The minimum number of positions in which two code words differ.

Hamming Code

A method of error control coding that adds redundant bits to a message to detect and correct errors during transmission.

Uniform Code

A type of code that uses a fixed-length codeword for each symbol in the alphabet.

Non-Uniform Code

A type of code where different symbols in the alphabet are assigned different length codewords.

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Encoding

The process of converting information from one form to another to make it suitable for transmission over a communication channel.

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Decoding

The process of converting a received signal back into its original form, retrieving the information.

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Entropy

A measure of the uncertainty associated with a random variable.

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Code Rate (R)

The ratio of the number of information bits (k) to the total number of bits (n) in a codeword (n > k).

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Efficiency of the Language

The measure of how efficiently information is conveyed by a language, calculated as the average information per symbol divided by the maximum possible information per symbol.

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I average

The average information per symbol in a language, calculated as the sum of probabilities of each symbol multiplied by their corresponding information.

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Information (I)

The number of bits required to represent a particular symbol in a message.

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Amount of Information

The number of bits required to represent a message with a specific number of symbols and a specified alphabet size.

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Error Detection

The ability of a code to detect a certain number of errors without correcting them.

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Error Correction

The ability of a code to correct a certain number of errors by identifying and replacing them with the correct bits.

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Conditional Entropy (H(Y|X))

The conditional entropy of Y given X, representing the uncertainty remaining in Y after learning the value of X.

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Huffman Code

A code that uses fewer bits to encode frequently occurring symbols and more bits for less frequent ones, aiming to minimize the average codeword length.

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Prefix Code

A code that uses prefix-free codewords, ensuring that no codeword is a prefix of another, preventing ambiguity.

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Error Control Coding

The process of adding redundant bits to a message to increase its resistance to errors during transmission.

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Redundancy

The process of adding redundant bits to a message to reduce the probability of errors during transmission, making it easier to detect and correct errors.

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Error Correction Code

The process of adding redundant bits to a message, usually using a specific algorithm to ensure that the code can detect or correct errors.

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Block Code

A type of error control code that encodes data in blocks of fixed length.

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Convolution Code

A type of error control code that uses a sliding window to encode data bit by bit.

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Shannon-Fano Coding

An algorithm for constructing optimal prefix codes, minimizing the average codeword length by assigning shorter codes to more frequent symbols.

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Bit

The unit of measurement for information when the base of the logarithm is 2.

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Dit

The unit of measurement for information when the base of the logarithm is 10.

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Nit

The unit of measurement for information when the base of the logarithm is e (Euler's number).

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Sample Space

The set of all possible outcomes of a random experiment.

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Hamming Distance

The number of positions in which two code words differ.

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Parity Bit

A codeword used for a Hamming Code in which a single bit error can be identified and corrected.

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Hamming (7,4) Code

A codeword used for a Hamming Code that uses 3 parity bits to identify a single bit error in the code.

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Hamming (31, 26) Code

A codeword used for a Hamming Code that uses 5 parity bits to identify a single bit error in the code.

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Hamming (15, 11) Code

A codeword used for a Hamming Code that uses 4 parity bits to identify a single bit error in the 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.
  • Various questions assess knowledge in areas like Huffman coding, Shannon-Fano codes, Hamming distances, code rate, and error correction codes.

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