Lossless audio coding using Burrows-Wheeler Transform and move-to-front coding

In this paper we present a new lossless audio coder using the Burrows-Wheeler transform (BWT). Audio signals under consideration, which are assumed to be of integer values, are first permuted using the BWT to get the transform coefficients; and then the resulting coefficients are compressed using a combination of the move-to-front coding (MTF) and an entropy coder. Both Arithmetic and Huffman coding have been used for entropy coding. Simulations show that the proposed coder outperforms other lossless coders, namely, the integer discrete cosine transform (intDCT) and the integer wavelet transform (intWT).