- theory of source coding
- theory of source coding NRT Quellencodierungstheorie f (Teil der Informationstheorie)
English-German dictionary of Electrical Engineering and Electronics. 2013.
English-German dictionary of Electrical Engineering and Electronics. 2013.
Shannon's source coding theorem — In information theory, Shannon s source coding theorem (or noiseless coding theorem) establishes the limits to possible data compression, and the operational meaning of the Shannon entropy.The source coding theorem shows that (in the limit, as… … Wikipedia
Distributed source coding — (DSC) is an important problem in information theory and communication. DSC problems regard the compression of multiple correlated information sources that do not communicate with each other.[1] By modeling the correlation between multiple sources … Wikipedia
Coding theory — is the study of the properties of codes and their fitness for a specific application. Codes are used for data compression, cryptography, error correction and more recently also for network coding. Codes are studied by various scientific… … Wikipedia
Coding — may refer to: Channel coding in coding theory Line coding Computer programming, the process of designing, writing, testing, debugging / troubleshooting, and maintaining the source code of computer programs The process of Statistical… … Wikipedia
Information theory — Not to be confused with Information science. Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Information theory was developed by Claude E. Shannon to find fundamental… … Wikipedia
Huffman coding — Huffman tree generated from the exact frequencies of the text this is an example of a huffman tree . The frequencies and codes of each character are below. Encoding the sentence with this code requires 135 bits, as opposed of 288 bits if 36… … Wikipedia
Noisy-channel coding theorem — In information theory, the noisy channel coding theorem (sometimes Shannon s theorem), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information)… … Wikipedia
Network coding — is a technique where, instead of simply relaying the packets of information they receive, the nodes of a network will take several packets and combine them together for transmission. This can be used to attain the maximum possible information… … Wikipedia
Entropy (information theory) — In information theory, entropy is a measure of the uncertainty associated with a random variable. The term by itself in this context usually refers to the Shannon entropy, which quantifies, in the sense of an expected value, the information… … Wikipedia
Rate–distortion theory — is a major branch of information theory which provides the theoretical foundations for lossy data compression; it addresses the problem of determining the minimal amount of entropy (or information) R that should be communicated over a channel, so … Wikipedia
Golomb coding — is a data compression scheme invented by Solomon W. Golomb in the 1960s. The scheme is based on entropy encoding and is optimal (in the sense of Shannon s source coding theorem) for alphabets following a geometric distribution, making it highly… … Wikipedia