Title
Lossless Compression Of Seismic Signals Using Least Square, Frequency Domain Pole-Zero Modeling
Abstract
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, as a rational function, or equivalently as an auto-regressive moving-average (ARMA) process. The algorithm is implemented in the frequency domain. The performance of the proposed technique is compared to the lossless linear predictor and the lossless differentiator methods for compressing seismic signals. The approach presented here is shown to have excellent performance and compares favorably with the other existing techniques.
Publication Date
1-1-1995
Publication Title
Proceedings - IEEE International Symposium on Circuits and Systems
Volume
2
Number of Pages
1106-1109
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0029181041 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029181041
STARS Citation
Nijim, Yousef W.; Stearns, Samuel D.; and Mikhael, Wasfy B., "Lossless Compression Of Seismic Signals Using Least Square, Frequency Domain Pole-Zero Modeling" (1995). Scopus Export 1990s. 1955.
https://stars.library.ucf.edu/scopus1990/1955