String Processing - Compression Techniques
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Questions and Answers

What is the primary objective of compression algorithms?

  • Optimize storage devices for improved performance
  • Minimize execution time while conserving space
  • Reduce the space occupied by data with less concern for time (correct)
  • Increase data redundancy for better data management
  • Which of the following data types benefits the most from compression?

  • Text files with frequently repeated characters (correct)
  • Encrypted files with unique patterns
  • Files with random distribution of bits
  • Images with random pixel colors
  • What is the typical range of space savings when compressing binary files with a non-random distribution?

  • 20% to 40%
  • 50% to 90% (correct)
  • 10% to 30%
  • 80% to 100%
  • What misconception about compression methods is highlighted in the content?

    <p>All compression methods can always reduce file size.</p> Signup and view all the answers

    Which encoding method takes advantage of variable lengths in string processing?

    <p>Huffman method</p> Signup and view all the answers

    In the context of compression, what is typically NOT a reason for reduced file size effectiveness?

    <p>Random distribution of bits</p> Signup and view all the answers

    What method of compression might be particularly effective for audio files?

    <p>Lossy compression</p> Signup and view all the answers

    What can be concluded about applying a compression method multiple times on the same file?

    <p>It may lead to increased file size eventually.</p> Signup and view all the answers

    Study Notes

    String Processing - Compression

    • Objective: To reduce the space occupied by data while considering the time spent on the compression process.
    • Approach: Leverage data redundancy, identifying frequently repeated characters, homogeneous areas, and recurring patterns.
    • Common Examples:
      • Text files: Frequent character repetition.
      • Image files: Large, homogenous areas.
      • Digital representations of sound and analog signals: Highly repeated patterns.
    • Typical Results:
      • Text files: 20% to 50% space savings.
      • Binary files: 50% to 90% space savings (except for files with a random distribution of bits).
    • Important Note: Any compression method, regardless of its effectiveness, can result in files larger than the original in certain cases.

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    Related Documents

    AA2025-Lecture3-eng.pdf

    Description

    This quiz focuses on the methods of data compression, exploring how to effectively reduce space utilization while factoring in the time required for the process. It discusses the principles of identifying data redundancy and common examples across text files, images, and audio. Test your understanding of various compression results and the limitations of different methods!

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