Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

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.

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 ...

Compression is front and center at Facebook’s annual @Scale conference in San Jose. The social networking giant open-sourced a homegrown algorithm called Zstandard at the event today that is described ...

Brother and sister team Peter Ma and Nancy Ghaly presented Piper Pied, a lossless compression algorithm for online images, at the Disrupt NY Hackathon today. The startup is a “creative spin” on Pied ...

I see awful diminishing returns here. (Lossless) compression of today isn't really that much better than products from the 80s and early 90s - stacker (wasn't it?), pkzip, tar, gz. You get maybe a few ...

Future analog-to-digital converters (ADCs) that implement Samplify Systems' latest algorithm could compress digitized, band-limited signals by adapting to the signals' bandwidth and dynamic range.

With the MP3 explosion, it's interesting to see the release of Shorten X for OS X. Shorten X is based on this lossless compression algorithm for audio. You're best compression appears to be 50% ...