In structural health monitoring (SHM) of civil structures, data compression is often needed to
reduce the cost of data transfer and storage, because of the large volumes of sensor data …

In the last decades, the field of structural health monitoring (SHM) has grown exponentially.
Yet, several technical constraints persist, which are preventing full realisation of its potential …

Data assimilation is an important discipline in geosciences that aims to combine the
information contents from both prior geophysical models and observational data …

Advances on seismic survey techniques require a large number of geophones. This leads to
an exponential growth in the size of data and prohibitive demands on storage and network …

Compressed sensing (CS) utilizes the signal's sparsity to reconstruct signals from far less
linear measurements. However, ambient vibration response in structural dynamics typically …

To improve the generalization ability of the single pooling (average or maximum pooling)
skip connection residual network (SSN) for seismic random noise attenuation, we present a …

This short book is for students, professors and professionals interested in signal processing
of seismic data using MATLAB (TM). The step-by-step demo of the full reflection seismic data …

With the increasing use of seismic waveform inversion and imaging, the scale of numerical
simulations of seismic waves has been increasing. Concomitantly, the resulting extremely …

A two-stage technique for lossless waveform data compression is described. The first stage
is a modified form of linear prediction with discrete coefficients, and the second stage is …

The exponential growth of the size of seismic data recorded in seismic surveys and real time
data monitoring makes seismic data compression strongly demanded. Furthermore …