Real time implementation concerns for lossless waveform compression

Lossless waveform data compression is useful in application areas where the fidelity of the signal being compressed is critical, This paper presents a two stage lossless seismic waveform data compression algorithm and a discussion of various issues related to the algorithm´s real time implementation. The first stage of the algorithm performs lossless adaptive prediction using a recursive least squares lattice (RLSL) while the second stage performs arithmetic coding. The RLSL uses an a priori algorithm and floating-point operations. The second stage of the algorithm uses an arithmetic coding algorithm that is capable of encoding 14 bit residue sequences. The algorithm was implemented in real time on a Texas Instruments TMS320C30 chip