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.

Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

Music streaming and image / video transfer are technologies that are indispensable in modern society, but in order to use these technologies, it is indispensable to 'compress a huge file size to a ...

Google just launched Zopfli, a new open source compression algorithm that can compress web content about 3 to eight 8 more densely (PDF) than the standard zlib library. Because Zopfli is compatible ...

Because video clips are made up of sequences of individual images, or “frames,” video compression algorithms share many concepts and techniques with still-image compression algorithms. Therefore, we ...

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 ...

If it weren’t for the requirement that HDTV be a terrestrial service that would fit in a 6MHz channel, the transition to digital may never have begun. Early analog augmentation channel NTSC compatible ...