Abstract
A training-sequence-based entropy-constrained predictive trellis coded quantization (ECPTCQ) scheme is presented for encoding autoregressive sources. For encoding a first-order Gauss-Markov source, the MSE performance of an 8-state ECPTCQ system exceeds that of entropy-constrained DPCM by up to 1.0 dB. In addition, a hyperspectral image compression system is developed which utilizes ECPTCQ. A hyperspectral image sequence compressed at 0.15 bitspixelband retains peak signal-to-noise ratios greater than 42 dB over most spectral bands.
Original language | English (US) |
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Article number | 389484 |
Pages (from-to) | V253-V256 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 5 |
State | Published - 1994 |
Externally published | Yes |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering