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2. Pulse compression - Wikipedia

   en.wikipedia.org/wiki/Pulse_compression

   Pulse compression is a signal processing technique commonly used by radar, sonar and echography to either increase the range resolution when pulse length is constrained or increase the signal to noise ratio when the peak power and the bandwidth (or equivalently range resolution) of the transmitted signal are constrained.

3. Lempel–Ziv–Markov chain algorithm - Wikipedia

   en.wikipedia.org/wiki/Lempel–Ziv–Markov_chain...

   The Lempel–Ziv–Markov chain algorithm ( LZMA) is an algorithm used to perform lossless data compression. It has been under development since either 1996 or 1998 by Igor Pavlov [ 1] and was first used in the 7z format of the 7-Zip archiver. This algorithm uses a dictionary compression scheme somewhat similar to the LZ77 algorithm published ...

4. Zamzar - Wikipedia

   en.wikipedia.org/wiki/Zamzar

   Zamzar is an online file converter and compressor, created by brothers Mike and Chris Whyley in England in 2006. [ 1][ 2] It allows users to convert files online, without downloading a software tool, and supports over 1,200 different conversion types. [ 3] Since its formation, the service has converted over 510 million files for users [ 4] from ...

5. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression. In information theory, data compression, source coding, [ 1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

6. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

7. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...