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 ...

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 ...

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 ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

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

Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data while still maintaining archival quality.

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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?

DESIGN VIEW is the summary of the complete DESIGN SOLUTION contributed article, which begins on Page 2. When software-implemented compression schemes run out of steam, give your CPU a break by ...

Facebook is open sourcing a new compression algorithm called Zstandard that aims to replace the common technology behind the Zip file format. The most common algorithm behind the Zip file format is ...