Design and implementation of a data compression software
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Data Compression
- 2.2History of Data Compression
- 2.3Types of Data Compression Algorithms
- 2.4Lossless Data Compression Techniques
- 2.5Lossy Data Compression Techniques
- 2.6Applications of Data Compression
- 2.7Data Compression Standards
- 2.8Comparison of Data Compression Techniques
- 2.9Challenges in Data Compression
- 2.10Future Trends in Data Compression
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 3.1Research Methodology Overview
- 3.2Research Design
- 3.3Data Collection Methods
- 3.4Sampling Techniques
- 3.5Data Analysis Methods
- 3.6Research Ethics
- 3.7Validity and Reliability
- 3.8Research Limitations
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- 4.1Data Analysis and Interpretation
- 4.2Findings from Survey Responses
- 4.3Comparison of Data Compression Algorithms
- 4.4Impact of Compression Ratio on Performance
- 4.5Discussion on Data Compression Efficiency
- 4.6Analysis of Compression Speed
- 4.7Evaluation of User Experience
- 4.8Implications of Findings
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contributions to Knowledge
- 5.4Recommendations for Future Research
- 5.5Practical Implications
Thesis Abstract
DESIGN AND IMPLEMENTATION OF A DATA COMPRESSION SOFTWARE
In recent times, there has been a great need driven towards the maximizing of data transfer between communication terminals thereby making efficient use of network bandwidth and disk space. Compression is the process used to reduce the physical size of a block of information. Data encoding is the term used to refer to algorithms that perform compression. Data compression is a type of data encoding. Doyle and Carlson (2000) write that data compression “has one of the most simple and elegant design theories in all engineering”. A simple characterization of data is that it involves transforming a string of characters in some representation (such as ASCII) into a new string (0f bits for example) which contains the same information, but whose length is as small as possible. Data compression squeezes data so it requires less disk space storage, less bandwidth on a data transmission channel. Communication equipment’s like modems, bridges and routers use compression scheme to improve throughput over standard leased lines or phone lines
Thesis Overview
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