Compression algorithms come in two fundamental flavors: lossless and lossy. Lossless compression of computer text files began in the 1970s, when Abraham Lempel and Jacob Ziv created and patented 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 ...
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 ...
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 ...
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?
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results