Pipelined Two-Operand Modular Adders

Pipelined two-operand modular adder (TOMA) is one of basic components used in digital signal processing (DSP) systems that use the residue number system (RNS). Such modular adders are used in binary/residue and residue/binary converters, residue multipliers and scalers as well as within residue processing channels. The design of pipelined TOMAs is usually obtained by inserting an appriopriate number of latch layers inside a nonpipelined TOMA structure. Hence their area is also determined by the number of latches and the delay by the number of latch layers. In this paper we propose a new pipelined TOMA that is based on a new TOMA, that has the smaller area and smaller delay than other known structures. Comparisons are made using data from the very large scale of integration (VLSI) standard cell library

Wide Dynamic Range CMOS Potentiostat for Amperometric Chemical Sensor

Presented is a single-ended potentiostat topology with a new interface connection between sensor electrodes and potentiostat circuit to avoid deviation of cell voltage and linearly convert the cell current into voltage signal. Additionally, due to the increased harmonic distortion quantity when detecting low-level sensor current, the performance of potentiostat linearity which causes the detectable current and dynamic range to be limited is relatively decreased. Thus, to alleviate these irregularities, a fully-differential potentiostat is designed with a wide output voltage swing compared to single-ended potentiostat. Two proposed potentiostats were implemented using TSMC 0.18-μm CMOS process for biomedical application. Measurement results show that the fully differential potentiostat performs relatively better in terms of linearity when measuring current from 500 pA to 10 uA. Besides, the dynamic range value can reach a value of 86 dB

A SigmaDelta modulator for digital hearing instruments using 0.18 mum CMOS technology.

This thesis develops the design methodology for a low-voltage low-power SigmaDelta Modulator, realized using a switched op-amp technique that can be used in a hearing instrument. Switched op-amp implementation allows scaling down the design to the latest CMOS technology. A single-loop second-order SigmaDelta Modulator topology is chosen. The modulator circuit features reduced complexity, area reduction and low conversion energy. The modulator has a sampling rate of 8.2 MHz with an over-sampling ratio (OSR) of 256 to provide an audio bandwidth of 16 kHz. The modulator is implemented in a 0.18 mum digital CMOS technology with metal-to-metal sandwich structure capacitors. The modulator operates with a supply voltage of 1.8 V. The active area is 0.403 mm2. The modulator achieves a 98 dB signal-to-noise-and-distortion ratio (SNDR) and a 100 dB dynamic range (DR) at a Nyquist conversion rate of 32 kHz and consumes 1321 muW with a joule/conversion figure of merit equal to 161 x 10-12 J/s. The design methodology is developed through the extensive use of simulation tools. The behaviour simulation is carried out using Matlab/SIMULINK while circuits are simulated with Hspice using the Cadence design tools. Full-custom layout for the analog and the digital circuits is performed using the Cadence design tool. Post-processing simulation of the extracted modulator with parasitic verifies that results meet the requirements. The design has been sent to CMC for fabrication. Source: Masters Abstracts International, Volume: 43-03, page: 0947. Adviser: W. C. Miller. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004

Interim research assessment 2003-2005 - Computer Science

This report primarily serves as a source of information for the 2007 Interim Research Assessment Committee for Computer Science at the three technical universities in the Netherlands. The report also provides information for others interested in our research activities

Analog and Neuromorphic computing with a framework on a reconfigurable platform

The objective of the research is to demonstrate energy-efficient computing on a configurable platform, the Field Programmable Analog Array (FPAA), by leveraging analog strengths, along with a framework, to enable real-time systems on hardware. By taking inspiration from biology, fundamental blocks of neurons and synapses are built, understanding the computational advantages of such neural structures. To enable this computation and scale up from these modules, it is important to have an infrastructure that adapts by taking care of non-ideal effects like mismatches and variations, which commonly plague analog implementations. Programmability, through the presence of floating gates, helps to reduce these variations, thereby ultimately paving the path to take physical approaches to build larger systems in a holistic manner.Ph.D