Title :
On the DPCM compression of Gaussian autoregressive sequences
Author :
Guleryuz, Onur G. ; Orchard, Michael T.
Author_Institution :
Dept. of Electr. Eng., Polytech. Univ. of Brooklyn, NY, USA
fDate :
3/1/2001 12:00:00 AM
Abstract :
Differential pulse-coded modulation (DPCM) encoding of Gaussian autoregressive (AR) sequences is considered. It is pointed out that DPCM is rate-distortion inefficient at low bit rates. Simple filtering modifications are proposed and incorporated into DPCM. A rate-distortion optimization framework that results in optimal filters is presented. It is shown that the designed filters take advantage of “less significant” process spectral components in order to achieve superior rate-distortion performance. Design equations are derived, issues related to optimization and complexity addressed. It is shown that simple DPCM systems with the proposed modifications significantly outperform their standard counterparts
Keywords :
Gaussian processes; autoregressive processes; computational complexity; data compression; differential pulse code modulation; digital filters; modulation coding; optimisation; rate distortion theory; sequences; AR sequence; DPCM compression; Gaussian autoregressive sequences; complexity; design equations; differential pulse-coded modulation encoding; filtering modifications; less significant process spectral components; optimal filters; rate-distortion optimization framework; rate-distortion performance; Bit rate; Decoding; Design optimization; Encoding; Equations; Filtering; Filters; Pulse compression methods; Pulse modulation; Rate-distortion;
Journal_Title :
Information Theory, IEEE Transactions on