Hardik Jani, Jeegar Trivedi, "A Survey on Different Compression Techniques Algorithm for Data Compression", International Journal of Advanced Research in Computer Science & Technology , Vol. 2, Issue 3 (July - Sept. 2014)H. Jane, J. Trivedi, "A Survey on Different Compression Techniques Algorithm for Data Compression", International Journ...
An algorithm for lossy compression of vector data (vector maps, vector graphics, contours of shapes) was developed. The algorithm is based on optimal polygonal approximation for error measure L2 and d 关键词: polygonal approximation quantization vector data compression vector data reduction vector map...
A Wavelet Toolkit for Visualization and Analysis of Large Data Sets in Earthquake Research — Wavelets have a wide range of useful functions that permit them to effectively treat problems such as data compression, scale-localization analysis, fea... G Erlebacher,DA Yuen - 《Pure & Applied Geoph...
Run-Length Encoding(RLE) is a way to compress data without losing any information (lossless compression).It replaces consecutive repeating characters with a single character and a number representing the number of times it appears.For example, the string can be compressed to . Here’s how it w...
A system and method for program counter and data tracing is disclosed. The tracing mechanism of the present invention enables increased visibility into the hardware and software state of the processor core.doi:US7069544 B1Radhika ThekkathUSUS7069544 2001年4月30日 2006年6月27日 Mips Technologies,...
【LZAV - Fast Data Compression Algorithm (in C/C++):快速内存数据压缩算法,具有高压缩速度(460+MB/s)和高解压速度(2500+MB/s),压缩比优于LZ4、Snappy和LZF】'LZAV - Fast Data Compression Algorithm (in C/C++) - Fast In-Memory Data Compression Algorithm (inline C/C++) 460+MB/s compress, 250...
The case for Small Data compression Previous charts provide results applicable to typical file and stream scenarios (several MB). Small data comes with different perspectives. The smaller the amount of data to compress, the more difficult it is to compress. This problem is common to all compressi...
() sends new trees relatively often, so it is possibly set for a smaller first level table than an application that has only one tree for all the data. For inflate, which has 286 possible codes for the literal/length tree, the size of the first table is nine bits. Also the distance ...
Data stored on physical storage devices and transmitted over communication channels often have a lot of redundant information, which can be reduced through compression techniques to conserve space and reduce the time it takes to transmit the data. The need for adequate security measures, such as sec...
Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for dimensionality reduction. The algorithm, which we named ‘...