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 ...

A team of researchers at ETH Zurich are working on a novel approach to solving increasingly large graph problems. Large graphs are a basis of many problems in social sciences (e.g., studying human ...

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 ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

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?

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 ...

Apple did its part in moving the world to wireless headphones. With the removal of the headphone jack with iPhone 7, the company made it clear that the future of audio is wireless. However, the ...

Yes, I understand why the initial compression of a bitmap (not necessarily a .BMP) to a JPEG is lossy, via the quantization step after DCT. But if I decompress a JPEG back to a new bitmap, and then re ...