Design and implementation of a data compression software
Table Of Contents
Chapter ONE
1.1 Introduction1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms
Chapter TWO
2.1 Overview of Data Compression2.2 Historical Development of Data Compression
2.3 Types of Data Compression Techniques
2.4 Lossless Data Compression Algorithms
2.5 Lossy Data Compression Algorithms
2.6 Applications of Data Compression
2.7 Comparison of Data Compression Tools
2.8 Challenges in Data Compression
2.9 Future Trends in Data Compression
2.10 Impact of Data Compression on Storage and Transmission
Chapter THREE
3.1 Research Methodology Overview3.2 Research Design
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Methods
3.6 Research Validity and Reliability
3.7 Ethical Considerations
3.8 Limitations of the Research Methodology
Chapter FOUR
4.1 Data Compression Software Development Process4.2 System Requirements and Specifications
4.3 Implementation of Data Compression Algorithms
4.4 Testing and Evaluation of the Software
4.5 Performance Analysis of Data Compression Software
4.6 User Interface Design and Usability Testing
4.7 Comparison with Existing Data Compression Tools
4.8 Recommendations for Future Development
Chapter FIVE
5.1 Summary of Findings5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Implications for Practice
5.5 Recommendations for Further Research
Project 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
Project Overview
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