Hamming Code Generator

Hamming Code Generator calculates the Hamming code for a given binary data string. Enter a binary string (e.g., 1011), and the calculator will determine the number of parity bits (\( r \)), their positions, and generate the complete codeword with parity bits inserted.

Methodology Used in Hamming Code Generator

The Hamming code is an error-correcting code that adds parity bits to a data string to detect and correct single-bit errors. Parity bits are placed at positions that are powers of 2, and each parity bit covers specific data bits based on its position.

Hamming Code Equations:

Number of parity bits \( r \) for \( m \) data bits satisfies:

\[ 2^r \geq m + r + 1 \]

Parity bit at position \( 2^i \) checks bits where the binary representation of the position includes \( 2^i \).

Algorithm Steps:

  1. Input a binary data string of length \( m \).
  2. Calculate the number of parity bits \( r \) using \( 2^r \geq m + r + 1 \).
  3. Place data bits in positions that are not powers of 2 in a codeword of length \( m + r \).
  4. Calculate each parity bit using XOR over the bits it checks.
  5. Output the final codeword and visualize bit positions.
Hamming Code Calculator

Hamming Code Generator calculates the Hamming code for a given binary data string. Enter a binary string (e.g., 1011), and the calculator will determine the number of parity bits (\( r \)), their positions, and generate the complete codeword with parity bits inserted.

Methodology Used in Hamming Code Generator

The Hamming code is an error-correcting code that adds parity bits to a data string to detect and correct single-bit errors. Parity bits are placed at positions that are powers of 2, and each parity bit covers specific data bits based on its position.

Hamming Code Equations:

Number of parity bits \( r \) for \( m \) data bits satisfies:

\[ 2^r \geq m + r + 1 \]

Parity bit at position \( 2^i \) checks bits where the binary representation of the position includes \( 2^i \).

Algorithm Steps:

  1. Input a binary data string of length \( m \).
  2. Calculate the number of parity bits \( r \) using \( 2^r \geq m + r + 1 \).
  3. Place data bits in positions that are not powers of 2 in a codeword of length \( m + r \).
  4. Calculate each parity bit using XOR over the bits it checks.
  5. Output the final codeword and visualize bit positions.

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