Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

In a tiny office in West Palm Beach, Fla., a handful of clunky computers are crunching through a software problem that many consider unsolvable. These are the offices of ZeoSync, a start-up that made ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Reduce bandwidth and storage requirements with standard GZIP/ZLIB/Deflate compression at over 90Gbps on Xilinx Alveo Data Center Accelerator Cards Woodcliff Lake, NJ — September 27, 2019 — ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage What Powers Your Databases?

With more and more embedded systems being connected, sending state information from one machine to another has become more common. However, sending large packets of data around on the network can be ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

Data compression is critical to cloud and data streaming applications by reducing data transfer times and storage utilization. But compressing and decompressing data ...