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Algorithmic Data Compression
Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science and Electronic Engineering courses.
With the help of this book, students can gain a thorough understanding of the underlying theory and algorithms, as well as specific techniques used in a range of scenarios, including the application of compression techniques to text, still images, video and audio. Practical exercises, projects and exam questions reinforce learning, along with suggestions for further reading.
Preface; Acknowledgements; Introduction; Coding symbolic data; Run-length algorithms; Human coding; Adaptive Human coding; Arithmetic coding; Dictionary based compression; Prediction and transforms; Audio compression; Image Compression; Video compression; Appnedix A: Matrices; Appendix B: Fourier Series and harmonic analysis; Appendix C: Brief History; Appendix D: Pseudocode notation; Index