To meet the requirements of new applications, powerful data compression schemes are needed to reduce the global bit rate drastically. In this paper, we proposed a simple lossless visual image compression scheme that will be used to compress visual images. In this scheme, the two dimensional ...
If data is compressed after it is written to disk, or post-process, the compression may run in the background to reduce the performance impact. Although post-process compression can reduce the response time for each I/O, it still consumes memory and processor cycles and can affect the overal...
Intel QAT supports hardware-accelerated Deflate lossless compression algorithms. Since data compression is a computation intensive task, compression usually greatly increases CPU overheads. Using Intel QAT enables transparent data compression/decompression without increasing CPU overheads, saving disk...
Cisco internetworking devices use the Stacker and Predictor data compression algorithms. The Compression Service Adapter (CSA) only supports the Stacker algorithm. The Stacker method is the most versatile, because it runs on any supported point-to-point layer-2 encapsulation. Predictor only supports PP...
This capability for data compression can also be used to reduce the cost of many numerical solution algorithms. The purpose of this paper is to promote the use of multiresolution representation schemes which are based on cell-average discretization as the “Standard Method” for data compression. ...
We develop data structures and compression algorithms for HTS data. A processing stage maps short sequences to a reference genome or a large table of sequences. Then the integers representing the short sequence absolute or relative addresses, their length, and the substitutions they may contain are...
When a user sends the compressed data over the internet, the file received may or may not contains the same data as the original file. Hence, we can dividethe data compression algorithms into two broad categories: lossless and lossy data compression. ...
This algorithm will manipulates each bit of data inside file to minimize the size without losing any data after decoding which is classified to lossless compression. This basic algorithm is intended to be combining with other data compression algorithms to optimize the compression ratio. The ...
Traditionally, we use compression algorithms to achieve data reduction. The main idea of data compression is "use the fewest number of bits to represent an information as accurately as possible". What we want to do is to represent the origin data information as accurately as possible, so it ...
Compression Algorithm - Huffman Codes Shannon Entropy Path Finding Algorithm - A* Dijkstra's Shortest Path Prim's spanning tree algorithm in Python Bellman-Ford Shortest Path Encryption/Cryptography Algorithms minHash tf-idf weight Natural Language Processing (NLP): Sentiment Analysis I (IMDb & bag-...