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The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.
In experimental psychology the term conditioned emotional response refers to a phenomenon that is seen in classical conditioning after a conditioned stimulus (CS) has been paired with an emotion-producing unconditioned stimulus (US) such as electric shock. [1]
This provides great benefit to the overall compression ratio, and psychoacoustic analysis routinely leads to compressed music files that are one-tenth to one-twelfth the size of high-quality masters, but with discernibly less proportional quality loss. Such compression is a feature of nearly all modern lossy audio compression formats.
Stevens' power law is an empirical relationship in psychophysics between an increased intensity or strength in a physical stimulus and the perceived magnitude increase in the sensation created by the stimulus.
Introduction to Compression Theory (PDF), Wiley, archived (PDF) from the original on 2007-09-28; EBU subjective listening tests on low-bitrate audio codecs; Audio Archiving Guide: Music Formats (Guide for helping a user pick out the right codec) MPEG 1&2 video compression intro (pdf format) at the Wayback Machine (archived September 28, 2007)
After two years of graduate study, he received his Ph.D. in psychology from Harvard University, where he served under Edwin Boring as assistant in psychology, from 1932 to 1934. The following year he spent studying physiology under Hallowell Davis at Harvard Medical School , and in 1935 served as a research fellow in physics at Harvard for a year.
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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 ...