Quellenkodierungsprinzip
The Quellenkodierungsprinzip, also known as the source coding principle, is a fundamental concept in information theory and data compression. It states that for any given source of data, there exists a code that can represent the data with an average length that is arbitrarily close to the entropy of the source. This principle was introduced by Claude Shannon in his seminal work "A Mathematical Theory of Communication" in 1948.
The entropy of a source is a measure of the average amount of information produced by the
This principle underpins the development of various data compression techniques, such as Huffman coding, arithmetic coding,
The practical application of the Quellenkodierungsprinzip involves finding efficient codes that minimize the average length of