In today's digital world, data transmission and storage is becoming a massive problem. This
is because the data produced by various sensors worldwide is outstripping the ability to …

The biological nervous system possesses a powerful information processing capability, and
only needs a partial signal stimulation to perceive the entire signal. Likewise, the hardware …

In this study, we present an improved computer-aided-diagnosis (CAD) system to distinguish
between normal heart sound and one affected with murmur. The proposed system is based …

Compressed Sensing (CS) has been considered a very effective means of reducing energy
consumption at the energy-constrained wireless body sensor networks for monitoring the …

The concept of this book is ECG signals-Electrocardiography is connected with Arduino
UNO-microcontroller. This book demonstrates how our heart waves can be connected to a …

In this paper, we introduce a dictionary learning based approach applied to the problem of
real-time reconstruction of MR image sequences that are highly undersampled in k-space …

The virtual (software) instrument with a statistical analyzer for testing algorithms for
biomedical signals' recovery in compressive sensing (CS) scenario is presented. Various …

Wireless visual sensor network (WVSN) consists of a large number of nodes that are
capable of acquiring, compressing and transmitting images. Surveillance becomes a vital …

This dissertation details advancements in spaceborne magnetometry through the
introduction of computational algorithms that effectively mitigate spacecraft-generated …

It has been recently shown that incorporating priori knowledge significantly improves the
performance of basic compressive sensing based approaches. We have managed to …