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.

Innovative compression algorithms can improve today�s high-speed data sampling. Compression algorithms have enabled many popular applications over the years. We cannot imagine sending e-mail ...

Compression is the science of making data representations smaller, in order to decrease the data's bandwidth and storage requirements. Compression applications are everywhere: in computers (WinZip and ...

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 ...

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, ...

The ubiquitous JPEG looks like it will be getting a major feature boost in the not too distant future. The Independent JPEG Group at the Leipzig Institute for Applied Informatics has released version ...

Hyperspectral image compression techniques have become increasingly critical in modern remote sensing, where sensors collect vast spectral cubes composed of hundreds of contiguous bands. These ...

[Ask the iTunes Guy is a regular column in which we answer your questions on everything iTunes related. If there’s something you’d like to know, send an email to the iTunes Guy for consideration.] The ...

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 ...