Quantitative performance evaluation of the lossless compression approach using pole-zero modeling

Journal Article · Sat Jan 01 04:00:00 EST 2000 · IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers)

DOI:https://doi.org/10.1109/36.823899· OSTI ID:20080338

Nijim, Y W; Stearns, S D; Mikhael, W B

A technique for lossless compression of seismic signals is proposed. The algorithm employed is based on the equation-error structure, which approximates the signal by minimizing the error in the least-square sense and estimates the transfer characteristic as a rational function or equivalently, as an autoregressive moving-average process. The algorithm is implemented in the frequency domain. The performance of the proposed technique is compared with the lossless linear predictor and the differentiator approaches for compressing seismic signals. The residual sequence of these schemes is coded using arithmetic coding. The suggested approach yields compression measures (in terms of bits per sample) lower than the lossless linear predictor and the differentiator for compressing different classes of seismic signals.

• Research Organization: Thomson Consumer Electronics, Indianapolis, IN (US)
• Sponsoring Organization: Sandia National Laboratories
• OSTI ID: 20080338
• Journal Information: IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers), Journal Name: IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) Journal Issue: 1PT1 Vol. 38; ISSN IGRSD2; ISSN 0196-2892
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ACCURACY
ALGORITHMS
DATA PROCESSING
DATA TRANSMISSION
RESOLUTION
SEISMIC ARRAYS
SIGNAL CONDITIONING
SIGNAL-TO-NOISE RATIO