This paper develops a new framework for data compression in seismic sensor networks by
using the distributed principal component analysis (DPCA). The proposed DPCA scheme …

Civil infrastructure condition monitoring generates large volumes of sensor data. Huge data
size impedes fast and reliable distribution of sensor data, especially for wireless sensor …

A method for applying arithmetic coding to lossless waveform compression is discussed.
Arithmetic coding has been used widely in lossless text compression and is known to …

This paper proposes a novel lossy data compression scheme for structural seismic
responses based on principled (truncated) independent component analysis (PICA). It is first …

A novel lossless image-compression scheme is proposed in this paper. A two-stage
structure is embedded in this scheme. A linear predictor is used to decorrelate the raw …

The next generation of oil and gas exploration technology is moving toward large-scale
seismic acquisition, automation, and flexibility. This phenomenon has accelerated the …

Telemedicine characterized by transmission of medical data and images between users is
one of the emerging fields in medicine. Huge bandwidth is necessary for transmitting …

Nowadays, the requirements for image data sharing among participant nodes of the Internet
of Things (IoT) are constantly emerging. And thanks to the popularity of digital cameras and …

This work introduces composite functions to compute distortion in volumetric seismic data.
Several loss functions, such as those based on L p-functions, ignore the structure of 3-D …

Problem statement: Nowadays a large number of various medical images are generated
from hospitals and medical centers with sophisticated image acquisition devices, the …