This paper presents a pipelined analog-to-digital converter (ADC) that is designed for implantable bioimpedance monitoring systems. For bioimpedance spectroscopy where the frequency of the excitation current is swept up to high frequencies, the ADC should be adaptable to improve the power efficiency of the system. The converter in this work can configure its resolution and sampling rate based on the input signal amplitude and frequency, respectively.

Furthermore, it can automatically decide its configuration with the help of a novel, low-power automatic adaptation circuit. The converter has 10-bit resolution in high-resolution mode and 8-bit resolution in low-resolution mode. The bandwidth of the ADC is 100 kHz in low-speed mode and 20 MHz in high-speed mode. The SNDR, ENOB and power consumption of the converter in low-speed mode are 58.66 dB, 9.45, and 16 μW in 10-bit mode and 46.56 dB, 7.41, and 9 μW in 8-bit mode.

Continue Reading
Though the size of the system is getting larger towards exa-scale computation, the amount of available memory on computing nodes is expected to remain the same or to decrease. Therefore,…

Consolidation of virtual machines (VM) is one of the key strategies used to reduce the power consumption of Cloud servers. For this reason it is extensively studied. Nevertheless, the effectiveness…

In this paper, the method we constructed aims to accurately identify the cross light hub emitted by a cross laser light. However, image recognition technologies are largely limited due to…

We develop a new model for traffic with on roads with multiple lanes but where the vehicles do not quite adhere to a lane discipline. To study the system the…

We propose a new method to implement mirror inverse gate operations in 1-D linear nearest neighbor (LNN) array coupled through diagonal interactions, using a dynamic learning algorithm. This is accomplished…

This paper is to review the research activities at City University London in the development of a suite of optical fibre-based chemical sensors, including pH, humidity and heavy metal sensors,…

The optical (such as absorption coefficient, linear refractive index, real and imaginary parts of dielectric constants and energy band gap) and thermal (such as diffusivities, effectivities and conductivities) properties of…

The Nyström method is an efficient technique for the eigenvalue decomposition of large kernel matrices. However, to ensure an accurate approximation, a sufficient number of columns have to be sampled.…

Modeling and prediction of temporal sequences is central to many signal processing and machine learning applications. Prediction based on sequence history is typically performed using parametric models, such as fixed-order…