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...

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...

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

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

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

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 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...

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

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

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)...

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

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...

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

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

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...

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

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

compressed images show increasingly visible defects. See the article on rate–distortion theory for a mathematical explanation of this threshold effect. A particular...

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

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

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...

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...

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

Distortion and overdrive are forms of audio signal processing used to alter the sound of amplified electric musical instruments, usually by increasing...

Gilbert-Varshamov bound Griesmer bound Johnson bound Plotkin bound Rate-distortion theory Singleton bound Tietäväinen 1973. McWilliams and Sloane, p. 19 Roman...