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Hamming Distance Calculator Hexadecimal

Hamming Distance Formula:

\[ \text{dist} = \text{bin}(\text{hex1} \oplus \text{hex2}).\text{count}('1') \]

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1. What is Hamming Distance?

The Hamming distance between two strings of equal length is the number of positions at which the corresponding symbols are different. For hexadecimal values, it represents the number of differing bits between the two values.

2. How Does the Calculator Work?

The calculator uses the Hamming distance formula:

\[ \text{dist} = \text{bin}(\text{hex1} \oplus \text{hex2}).\text{count}('1') \]

Where:

Explanation: The calculator converts hex values to binary, performs XOR operation, and counts the number of differing bits.

3. Importance of Hamming Distance

Details: Hamming distance is crucial in error detection and correction, cryptography, DNA sequence comparison, and network routing algorithms.

4. Using the Calculator

Tips: Enter two hexadecimal values of any length (they will be zero-padded to match lengths if different). The calculator will compute the number of differing bits.

5. Frequently Asked Questions (FAQ)

Q1: What's the maximum Hamming distance between two hex values?
A: The maximum distance is 4 bits per hex digit (since each hex digit represents 4 bits). For n-digit hex values, the maximum is 4*n.

Q2: How is Hamming distance different from Levenshtein distance?
A: Hamming distance compares strings of equal length, while Levenshtein distance accounts for insertions/deletions and works with strings of different lengths.

Q3: What are common applications of Hamming distance?
A: Error-correcting codes (ECC memory, RAID), cryptography, bioinformatics (DNA sequence comparison), and network routing protocols.

Q4: Does case matter for hex input?
A: No, the calculator treats uppercase and lowercase hex digits the same (A-F and a-f are equivalent).

Q5: What if I input non-hex characters?
A: The calculator will only process valid hexadecimal characters (0-9, A-F, a-f). Other characters will be ignored.

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