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 ...

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 ...

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 ...

Part 2 benchmarks the compression algorithms. It will be published July 20. Analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) are generating a huge and rapidly growing flood ...

How do we define information? How do we quantify the amount of information that any piece of data contains? In computers, we measure information in bits and bytes (or more accurately now Megabytes and ...

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?

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 ...

ArcSight added the SmartStorage component to its integrated security information management system on Monday. SmartStorage compresses large volumes of security-related data, while also keeping the ...

The team led by Professor Simon J. Puglisi focuses on efficient algorithms and data structures for searching, storing, and manipulating strings, trees and graphs, and applications thereof (like ...