Digital Codes Quiz
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Questions and Answers

What characterizes reflective codes in binary representation?

  • The code for 9 complements the code for 0. (correct)
  • Each digit is weighted according to its position.
  • They allow error detection and correction.
  • The codes are sequentially increasing binary numbers.
  • What is the main feature of non-weighted codes compared to weighted codes?

  • They do not assign specific weights to each digit. (correct)
  • They are always self-complementing.
  • They are used solely for error detection.
  • Each position has an associated weight.
  • Which statement is true regarding BCD (Binary-Coded Decimal) representation?

  • Each decimal digit requires 3 bits in BCD.
  • BCD can represent decimal numbers 10 and above.
  • Decimal numbers 0 to 9 are represented identically in BCD and binary. (correct)
  • Binary combinations 1010 through 1111 have specific meanings in BCD.
  • Which type of code indicates that each succeeding 'code is greater than the previous one?

    <p>Sequential codes</p> Signup and view all the answers

    How many bits are necessary in BCD to represent a decimal number with k digits?

    <p>4k bits</p> Signup and view all the answers

    What is the primary benefit of using Gray Code in digital communication?

    <p>It ensures only one bit changes between consecutive values.</p> Signup and view all the answers

    Which of the following statements about Hamming codes is accurate?

    <p>They can locate the position of a single-bit error with the use of multiple parity bits.</p> Signup and view all the answers

    When using parity bits to detect errors, which of the following is true?

    <p>Parity bits are added to make the total count of 1's even or odd.</p> Signup and view all the answers

    In the context of the relationship between data bits and parity bits in Hamming code, which of the following inequalities is correct?

    <p>2^p - 1 - p ≤ d ≤ 2^p - p - 1</p> Signup and view all the answers

    How are Hamming codes constructed with respect to data bits and parity bits?

    <p>Parity bits are marked at the positions of 2, 4, 8, etc.</p> Signup and view all the answers

    Study Notes

    Digital Codes

    • Digital data is represented, stored and transmitted as groups of binary digits also known as binary code.
    • Weighted codes: Each digit is assigned a specific weight according to its position.
    • Non-weighted codes: Codes not appositionally weighted.
    • Reflective codes: The code is self complementing.
    • Sequential codes: Each succeeding 'code is one binary number greater than its preceding code.
    • Alphanumeric codes: Codes used to represent numbers, alphabetic characters, symbols
    • Error defecting and correcting codes: Codes which allow error defection and correction are called error detecting and correcting codes.

    Classification of Codes

    • Numeric Codes
      • Binary Coded Decimal (BCD): Each decimal digit is represented by a 4-bit binary code.
      • A decimal number in BCD is the same as its equivalent binary number only when the number is between 0 and 9.
      • Other Decimal Codes
      • Gray Code: Only one bit changes between two consecutive codes.
        • Useful for analog-to-digital conversion, error detection and low power design.
    • Error-Detecting Codes
      • Parity: An extra bit is added to a message to make the total number of '1's either even or odd.
      • Hamming Code: Uses multiple parity bits to detect and correct errors.
        • It can detect and correct one-bit errors in a data block.
        • The number of parity bits needed depends on the number of data bits.
    • Alphanumeric Codes
      • Standard BCD Code: Uses 6 bits to represent a character, up to 64 characters.
        • Used in specific digital systems.
      • Extended Binary Coded Decimal Interchange Code (EBCDIC): Used primarily on IBM medium and large computers.
        • Uses 8 bits to represent a character, up to 256 characters.
      • American Standard Code for Information Interchange(ASC-II): Used on personal computers.
        • Uses 7 bits to represent a character, up to 128 characters.
        • For communications, it uses 8 bits with an added parity bit.

    Hamming Code

    • Can detect and correct a single bit error using parity bits
    • Parity bits are positioned at powers of 2 (1, 2, 4, 8, ...)
    • Parity bits are calculated by XORing the data bits they cover.
    • To detect errors.
      • Calculate the parity bits for the received data
      • If any parity bits don't match the original, an error has occurred
      • The number of parity bits that are incorrect gives the location of the error.

    Error Detection

    • Parity Checking: Detects errors by checking if the number of '1's is even or odd.

    Error Correction

    • Hamming Code is an example of an error-correcting code.
    • It uses multiple parity bits to detect and correct an error.
    • Check bits (parity bits) are used to detect and correct errors.
    • Data bits are the bits that carry the actual information.

    Standard BCD Code

    • Uses a 6-bit structure:
      • 1 zone bit
      • 5 digit bits.
    • Supports characters from A to I (00011001), J to R (00011001), S to Z (00101001), 0 to 9 (00011010), and other special characters.

    EBCDIC Code

    • Uses an 8-bit structure:
      • 1 parity bit
      • 4 zone bits
      • 4 digit bits
    • It is used on IBM mainframes.
    • It includes a wide range of characters, including control characters, special characters, lowercase letters, uppercase letters, and numeric digits.

    ASC-II Code

    • Most common character encoding system used today.
    • It uses a 7-bit structure:
      • 1 parity bit
      • 3 zone bits
      • 4 digit bits
    • Supports characters from 0 to 9, a to z, A to Z, and various special characters.

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    Description

    Test your knowledge of digital codes and their classifications. This quiz covers various types of binary and alphanumeric codes, including weighted, non-weighted, and error detecting codes. Ideal for students studying digital systems and computer science.

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