entropiakódolás
Entropiakódolás, also known as entropy encoding, is a lossless data compression technique that reduces the size of data without losing any information. It is based on the concept of entropy, a measure of the unpredictability or randomness of a data source. The fundamental idea behind entropy encoding is to assign shorter codes to more frequent symbols and longer codes to less frequent ones, thereby reducing the overall size of the data.
One of the most well-known entropy encoding methods is Huffman coding. Huffman coding constructs a binary tree
Entropy encoding is widely used in various applications, including file compression formats such as ZIP and
Despite its effectiveness, entropy encoding has limitations. It requires prior knowledge of the probability distribution of
In summary, entropiakódolás is a powerful technique for lossless data compression that leverages the statistical properties