On-line adaptive canonical prefix coding with bounded compression loss

Abstract

Semistatic minimum-redundancy prefix (MRP) coding is fast compared with rival coding methods, but requires two passes during encoding. Its adaptive counterpart, dynamic Huffman coding, requires only one pass over the input message for encoding and decoding, and is asymptotically efficient. Dynamic Huffman coding is, however, notoriously slow in practice. By removing the restriction that the code used for each message symbol must have minimum-redundancy and thereby admitting some compression loss, it is possible to improve the speed of adaptive MRP coding. This paper presents a controlled method for trading compression loss for coding speed by approximating symbol frequencies with a geometric..