In this dissertation, the design, computer simulations, experimental evaluations, and
theoretical analyses of new wireless sensing schemes were carried out systematically. A …

This work introduces the use of compressed sensing (CS) algorithms for data compression
in wireless sensors to address the energy and telemetry bandwidth constraints common to …

The long-standing analog-to-digital conversion paradigm based on Shannon/Nyquist
sampling has been challenged lately, mostly in situations such as radar and communication …

In recent years, interest towards sensors for scientific research, surveillance, medical
applications, and imaging has exploded. In particular, wearable sensors and medical …

In wireless sensor applications such as implantable neural recording arrays, the high energy
cost to transmit a bit of information and the radio's limited bandwidth necessitate data …

The main drawback of current healthcare systems is the location-specific nature of the
system due to the use of fixed/wired biomedical sensors. Since biomedical sensors are …

This paper describes the system design of a compressed sensing (CS) based source
encoding system for data compression in wireless sensor applications. We examine the …

Because sensing nodes typically have limited power resources, it is extremely important for
signals to be acquired with high efficiency and low power consumption, especially in large …

We report the design and implementation of an Analog-to-Information Converter (AIC) based
on Compressed Sensing (CS). The system is realized in a CMOS 180 nm technology and …

This brief presents a low-complexity mixed-domain data compression solution that is
suitable for resource-constrained wireless sensory systems. Data compression reduces the …