A template algorithm bearing this name enables the use of non-numerical weights, and its adaptive type calculates frequencies dynamically and is related to the LZ family.
A template algorithm bearing this name enables the use of non-numerical weights, and its adaptive type calculates frequencies dynamically and is related to the LZ family. It is most efficient if the probability of occurrence of each input symbol is a power of two and it works by combining the trees for each symbol until one complete tree has been constructed containing all the symbols. It is the most efficient method of compression that results in a prefix-free code, and it improves on Shannon-Fano coding by building the tree from the bottom up instead of from the top down. Developed by its namesake while a Ph.D. student under Robert Fano, FTP, identify this entropy encoding algorithm.
A template algorithm bearing this name enables the use of non-numerical weights, and its adaptive type calculates frequencies dynamically and is related to the LZ family.
Huffman coding