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.

It's not as simple as just firing up Spotify Lossless making your music magically better.

There's good news on that front, if not for the hardware and bandwidth you need.

A new software update in April will bring an enhanced listening experience for Apple's AirPods Max headphones. Apple announced the upgrade Monday that will bring lossless audio and ultra-low latency ...

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?

Lossless compression is used for applications where the original data must be fully restored following decompression. Examples of applications requiring lossless compression include network data, ...

With the introduction of Qualcomm’s aptX Lossless technology, Bluetooth headphone customers will finally join their wired audiophile brethren with the option to listen to lossless quality audio. The ...

The IP surveillance market has boomed over the past decade with dozens, if not hundreds, of new players emerging and traditional CCTV manufacturers expanding into networked technologies. With the ...

Hello all,<BR><BR>I was wondering if you guys could help with this..<BR><BR>I need to know what kind of ratio that jpeg lossless uses (not the jpeg2000 standard, but the older one).<BR><BR>I know that ...

Gaming Industry Todd Howard says AI can't replace human 'creative intention,' but it's part of Bethesda's 'toolset for how we build our worlds or check things' AI Rockstar co-founder compares AI to ...

Common audio data formats such as the Compact Disc generally store a two-channel (stereo) audio signal. The left and fight channel data streams are stored entirely independently. Various new data ...

It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...