Rate–distortion theory is a major branch of information theory which provides the theoretical foundations for lossy data compression; it addresses the...

specified fidelity level measured by a distortion function. This subset of information theory is called rate–distortion theory. Error-correcting codes (channel...

In the mathematical theory of probability, the entropy rate or source information rate is a function assigning an entropy to a stochastic process. For...

performs lossy compression with a rate (number of bits per quality value) specified by the user. Based on rate-distortion theory results, it allocates the number...

compression are provided by rate-distortion theory. Much like the use of probability in optimal coding theory, rate-distortion theory heavily draws on Bayesian...

best known for his work in information theory, including the Blahut–Arimoto algorithm used in rate–distortion theory. Blahut was born in Orange, New Jersey...

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

In information theory, the cross-entropy between two probability distributions p {\displaystyle p} and q {\displaystyle q} , over the same underlying set...

sampling theorem One-time pad Product cipher Pulse-code modulation Rate distortion theory Sampling Shannon capacity Shannon entropy Shannon index Shannon...

In chemistry, transition state theory (TST) explains the reaction rates of elementary chemical reactions. The theory assumes a special type of chemical...

performs lossy compression with a rate (number of bits per quality value) specified by the user. Based on rate-distortion theory results, it allocates the number...

Information Theory. 19 (4): 471–480. doi:10.1109/TIT.1973.1055037. ISSN 0018-9448. Wyner, Aaron D.; Ziv, Jacob (January 1976). "The rate-distortion function...

theory) – Expectation value of time-ordered quantum operators Mutual information – Measure of dependence between two variables Rate distortion theory –...

(statistical mechanics) Correlation function (quantum field theory) Mutual information Rate distortion theory Radial distribution function Gubner, John A. (2006)...

In information theory, the Shannon–Hartley theorem tells the maximum rate at which information can be transmitted over a communications channel of a specified...

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle...

sample rate , the resulting discrete-time sequence is said to be free of the distortion known as aliasing. Conversely, for a given sample rate the corresponding...

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original...

In information theory, joint entropy is a measure of the uncertainty associated with a set of variables. The joint Shannon entropy (in bits) of two discrete...

or recovered within some distortion (lossy source coding). This is one approach to data compression. In information theory, the source coding theorem...

In probability theory, particularly information theory, the conditional mutual information is, in its most basic form, the expected value of the mutual...

levels a quantizer uses, the lower is its quantization noise power. Rate–distortion optimized quantization is encountered in source coding for lossy data...

mixture model and thus also determine information criterion values. Rate distortion theory has been applied to choosing k called the "jump" method, which determines...

electrical engineering, computer science, and information theory, is the theoretical maximum rate at which information can be reliably transmitted over a...

it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel....

Octave illusion Pitch (music) Precedence effect Psycholinguistics Rate-distortion theory Sound localization Sound of fingernails scraping chalkboard Sound...

In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two...

In information theory, the asymptotic equipartition property (AEP) is a general property of the output samples of a stochastic source. It is fundamental...

to humans, recording and mixing at higher sampling rates is effective in eliminating the distortion that can be caused by foldback aliasing. Conversely...

numerically either the information theoretic capacity of a channel, the rate-distortion function of a source or a source encoding (i.e. compression to remove...