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.

Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

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 ...

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.

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 ...

If you’re a fan of HBO’s Silicon Valley, then you know about Pied Piper, the fictional company featured on the show that has created a lossless compression algorithm. Turns out, Facebook has actually ...

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 ...