RA Ergas, PL Donoho, J Villasenor - US Patent 5,745,392, 1998 - Google Patents
A method for compressing seismic data to reduce data storage and transmission requirements applies wavelet transforms to digitized trace sequential data obtained from …
H Nuha, M Mohandes, B Liu - SEG Technical Program Expanded …, 2018 - library.seg.org
In a geophysical exploration survey, thousands of geophones are deployed where each geophone must transmit hundreds of recording over a narrow band channel to a fusion …
The intrinsic low‐dimensional structure, which is implicit in the large‐scale data sets of structural seismic and typhoon responses, is exploited for efficient data compression. Such a …
S Das, PSN Rao - International Journal of Electrical Power & Energy …, 2012 - Elsevier
Introduction of processor based instruments in power systems is resulting in the rapid growth of the measured data volume. The present practice in most of the utilities is to store only …
YW Nijim, SD Stearns… - IEEE transactions on …, 1996 - ieeexplore.ieee.org
For some classes of signals, particularly those dominated by low frequency components, such as seismic data first and higher order differences between adjacent signal samples are …
HH Nuha, A Balghonaim, B Liu… - … Exposition and Annual …, 2019 - onepetro.org
Seismic data compression is highly demanded to reduce the cost for transmission and storage due to an enormous volume of collected data. This paper presents a prediction …
G Mandyam, N Magotra… - IGARSS'96. 1996 …, 1996 - ieeexplore.ieee.org
This paper presents a comparison of adaptive linear predictors as applied to the area of lossless compression of seismic waveform data. Three methods are explored: the normalize …
In recent years, deep Recurrent Neural Networks (RNNs) have been successfully applied to the prediction and processing of time series data. Since there exists significant temporal …