DATA COMPRESSION

Lossless or Lossy run-length Huffman delta LZW CS&Q JPEG MPEG fixed fixed fixed variable variable variable Group size: input CS&Q Huffman Arithmetic run-length, LZW variable fixed b.. Fi[r]

Module Strategy
Use the following strategy to present this module:
!" Managing Data Compression
Provide an overview of data compression management. Describe the characteristics of compressed files and folders. Describe and demonstrate how to compress files an[r]

FIGURE 15.4
SSL breaks up, compresses, hashes, and encrypts data before sending it.
One thing you might notice from the diagram is that the TCP header is added after the data is encrypted. This means that routing information could still potentially be tampered with, and although[r]

3.4 Decoding
We implemented the forest-based statistical sen- tence generation method of Langkilde (2000). KM tailored this method to sentence compression, com- pactly encoding all compressions of a sentence in a forest structure. The forest ranking algorithm which extracts compressed parse[r]

TRANG 1 INTRODUCTION TO DATA COMPRESSION TRANG 2 LECTURE 1 SOURCE CODING AND STATISTICAL MODELING Alexander Kolesnikov Entropy Example How to get probailities Shannon-Fano code Huffman c[r]

6.3.3 Flow in the secondary shear zone
With the partial exception of slow speed cutting tests like those of Roth and Oxley (Figure 6.8), visioplasticity studies have never been accurate enough to give informa- tion on strain rate and strain distributions in the secondary shear zone on a par with t[r]

TRANG 2 Accessibility Arrays Applets Application and System AWT Abstract Windowing Toolkit Clipboard Drag and Drop Events Fonts Shapes Compression JAR files Database - JDBC Data Structur[r]

ITU . The International Telecommunications Union, the new name of the CCITT, is a United Nations organization responsible for developing and recommending standards for data communications (not just compression). (See also CCITT.)
JFIF . The full name of this method (Section 5.6.7) is[r]

ITU . The International Telecommunications Union, the new name of the CCITT, is a United Nations organization responsible for developing and recommending standards for data communications (not just compression). (See also CCITT.)
JFIF . The full name of this method (Section 5.6.7) is[r]

Over the last decade, several algorithms have been implemented in order to enhance preci- sion or to reduce complexity of the stereo reconstruction problem (Fleet et al., 1997; Gonçalves & Oliveira, 1998; Oliveira et al., 2001; Theimer & Mallot, 1994; Zitnick & Kanade, 2000). Re- sulting[r]

Image compression results show that SPIHT-FSOT outperforms JPEG2000 in compressing small images. This is because JPEG2000 draws most of its compression efficiencies from its tightly integrated arithmetic coder, which requires sufficient symbols to pass through it so that its histogr[r]

We have focussed on reducing flexibility to reach a solu- tion with a low cost in terms of hardware resources, that of course matches the input flow requirements. This solution is based on a 1D discrete wavelet transform. Therefore, no ex- ternal memory is required, indeed a 1D transform can be ap-[r]

not of much interest to most of the users. The problem is to mine useful
information or patterns from the huge datasets. Data mining refers to this process of extracting knowledge that is of interest to the user.
Data mining is an evolving and growing area of research and developme[r]

direct connect modem A type of modem which be- came popular on desktop systems in the early 1980s, gradually superseding acoustic modems. The acous- tic modem was used to connect data and phone lines by setting the handset of a telephone into two suc- tion-cup style holders. Room noise could[r]

TRANG 1 DATA COMPRESSION LECTURE 2 ARITHMETIC CODE TRANG 2 ARITHMETIC CODE Alphabet extension blocking symbols can lead to coding efficiency How about treating entire sequence as one sym[r]

TRANG 1 DATA COMPRESSION LECTURE 2 ARITHMETIC CODE TRANG 2 ARITHMETIC CODE Alphabet extension blocking symbols can lead to coding efficiency How about treating entire sequence as one sym[r]

TRANG 8 15.15 FIGURE 15.8 AN EXAMPLE OF LEMPEL ZIV ENCODING 15.16 DECOMPRESSION TRANG 9 15.17 FIGURE 15.9 AN EXAMPLE OF LEMPEL ZIV DECODING 15 15--2 LOSSY COMPRESSION METHODS2 LOSSY COMP[r]

There is one additional step inside the loop, however, that takes place after every node has its weight incremented. The loop immediately following the increment operation works its way back through the list of nodes to see if the increased weight of the current node means it has to move up in the[r]

3.4. Dependence on the dataset
For the sake of comparison, the simulations with linear- threshold neurons were repeated with a di ff erent speech in- put, this time obtained from a single speaker (see Section 2). Sparseness requires that the neurons should occasionally have very high activity while[r]

cient compression scheme and additional datasets, which in- clude additional information of the original image or video increasing the media resolution or decreasing the distortion. The key advantage of scalable coding is that the target bitrate or reconstruction resolution does not need to b[r]