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.

Compression is the science of making data representations smaller, in order to decrease the data's bandwidth and storage requirements. Compression applications are everywhere: in computers (WinZip and ...

Data compression has emerged as a vital tool for managing the ever‐increasing volumes of data produced by contemporary scientific research. Techniques in this field aim to reduce storage requirements ...

Innovative compression algorithms can improve today�s high-speed data sampling. Compression algorithms have enabled many popular applications over the years. We cannot imagine sending e-mail ...

As universities and K-12 schools look to optimize the educational experience through sharing audio and video content across campuses and remote facilities, high-quality media transport is essential.

We’ve been hearing a lot about lossless audio lately. Apple Music says it has it. So does Amazon Music. Tidal and Qobuz have it too, but Spotify doesn’t. (Yet. Or still.) Is lossless audio a big deal?

Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In cloud service code, ...

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?

[Ask the iTunes Guy is a regular column in which we answer your questions on everything iTunes related. If there’s something you’d like to know, send an email to the iTunes Guy for consideration.] The ...