Written in English
Thesis(Ph.D.) - Loughborough University of Technology.
|Statement||by G.H. Ong.|
3D Object Processing: Compression, Indexing and Watermarking is an invaluable resource for graduate students and researchers working in signal and image processing, computer aided design, animation and imaging systems. Practising engineers who want to expand their knowledge of 3D video objects, including data compression, indexing, security, and copyrighting of information, will also find this. Data Compression Strategies Table shows two different ways that data compression algorithms can be categorized. In (a), the methods have been classified as either lossless or lossy.A lossless technique means that the restored data file is identical to the original. This is absolutely necessary for many types of data, for example: executable code, word processing files, tabulated numbers, etc. Handbook of Natural Gas Transmission and Processing gives engineers and managers complete coverage of natural gas transmission and processing in the most rapidly growing sector to the petroleum industry. The authors provide a unique discussion of new technologies that are energy efficient and environmentally appealing at the same time. Audio data compression, not to be confused with dynamic range compression, has the potential to reduce the transmission bandwidth and storage requirements of audio data. Audio compression algorithms are implemented in software as audio codecs. Lossy audio compression algorithms provide higher compression at the cost of fidelity and are used in.
To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we constructed a bit and bit syllable code tables and added commonly used symbols—such as punctuation marks and ASCII characters—to the code tables. This book explains a new generation of language-independent universal compression methods from the conceptual to the implementation level, including full details of algorithms and comprehensive performance comparisons. For courses in communication algorithms or data communications.4/5(1). Note: Many topics at this site are reduced versions of the text in "The Encyclopedia of Networking and Telecommunications." Search results will not be as extensive as a search of the book's CD-ROM. Data compression squeezes data so it requires less disk space for storage and less bandwidth on a data transmission channel. Digital Video Transcoding for Transmission and Storage answers this demand while also supplying the theories and principles of video compression and transcoding technologies. Emphasizing digital video transcoding techniques, this book summarizes its content via examples of practical methods for transcoder implementation.
The “information explosion” noted in recent years makes it essential that storage requirements for all information be kept to a minimum. A fully automatic and rapid three-part compressor which can be used with “any” body of information to greatly reduce slow external storage requirements and to increase the rate of information transmission through a computer is described in this by: 27 Data Compression Data transmission and storage cost money. The more information being dealt with, the more it costs. In spite of this, most digital data are not stored in the most compact form. Rather, they are stored in whatever way makes them easiest to use, such as: ASCII text from word processors. More lessons and activities: The Computer Science Field Guide has a chapter on Compression Coding which includes an interactive version of this activity where you can enter your own text to be compressed.; The Royal Institution UK and Microsoft Research together have produced an activity in Information Theory explaining the concept of compression for the classroom called Information Salvation. Guiding the reader through the main techniques, this book explains how practical data and image compression routines are now vital for efficient, low-cost transmission and data storage requirements. Building on the success of the third edition of Data Compression the scope of the fourth edition has been restructured to take account of the many Cited by: