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 ...
The different types of compression can have a huge effect on your big data transfers. Knowing what types to use is important for your business. The world is generating 2.5 quintillion bytes of data ...
Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects 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 ...
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 ...
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 ...
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