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.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

The “middle-out” algorithm that has its roots in the most infamous (and probably funniest) scene in HBO’s “Silicon Valley” may have been fictional, but something like it can be found in Lepton, a cool ...

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 ...

In the HBO comedy Silicon Valley, Richard and his team, Pied Piper, accidentally create a lossless compression algorithm, whipping all of the big tech companies of the fictional world into a frenzy ...

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 ...

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.

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.