Publications de Rafal Tomasz Dlugosz

Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology

This paper presents a programmable analog current-mode circuit used to calculate the distance between two vectors of currents, following two distance measures. The Euclidean (L2) distance is commonly used. However, in many situations, it can be replaced wi ...

Institute of Electrical and Electronics Engineers2016

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology

Pierre-André Farine, Rafal Tomasz Dlugosz

The paper presents a new initialization mechanism based on a Convex Combination Method (CCM) for Kohonen self-organizing Neural Networks (NNs) realized in the CMOS technology. A proper selection of initial values of the neuron weights exhibits a strong imp ...

Elsevier Science Inc2015

A low power, low chip area decimation filter for Σ - Δ modulator for flywheel MEMS gyro realized in the CMOS 180 nm technology

Pierre-André Farine, Rafal Tomasz Dlugosz, Steve Tanner, Patrick Stadelmann

The paper presents a low power and low chip area decimation filter for a 15-bits Σ-Δ analog-to-digital converter (ADC) designed for a flywheel MEMS gyroscope. In contrary to typical solutions, in which decimation is performed after each filtering stage, in ...

IEEE2012

A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip

Rafal Tomasz Dlugosz

An efficient transistor level implementation of a flexible, programmable Triangular Function (TF) that can be used as a Triangular Neighborhood Function (TNF) in ultra-low power, self-organizing maps (SOMs) realized as Application-Specific Integrated Circu ...

2012

Convex combination initialization method for kohonen neural network implemented in the CMOS technology

Pierre-André Farine, Rafal Tomasz Dlugosz

The paper presents a new CMOS implementation of the initialization mechanism for Kohonen self-organizing neural networks. A proper selection of initial values of the weights of the neurons exhibits a significant impact on the quality of the learning proces ...

2012

Power efficient asynchronous multiplexer for X-ray sensors in medical imaging analog front-end electronics

Pierre-André Farine, Rafal Tomasz Dlugosz

This paper presents a new power efficient asynchronous multiplexer(MUX) for application in analog front-endelectronics(AFE) used in X-ray medical imaging systems. Contrary to typica lsynchronous MUXes that have to be controlled by a clock, this circuit fea ...

Elsevier2011

Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology

Rafal Tomasz Dlugosz

We present a new programmable neighborhood mechanism for hardware implemented Kohonen self-organizing maps (SOMs) with three different map topologies realized on a single chip. The proposed circuit comes as a fully parallel and asynchronous architecture. T ...

Institute of Electrical and Electronics Engineers2011

Current-Mode Analog Adaptive Mechanism for Ultralow-Power Neural Networks

Rafal Tomasz Dlugosz

Neural networks (NNs) implemented at the transistor level are powerful adaptive systems. They can perform hundreds of operations in parallel but at the expense of a large number of building blocks. In the case of analog realization, an extremely low chip a ...

Institute of Electrical and Electronics Engineers2011

Power Efficient Hardware Implementation of a Fuzzy Neural Network

Rafal Tomasz Dlugosz

This paper presents a digital, transistor level implemented neo-fuzzy neural network. This type of neural network is particularly well suited for real-time applications like those encountered in signal processing and nonlinear system identification. We con ...

Technical University of Lodz2010

Programmable Triangular Neighborhood Functions of Kohonen Self-Organizing Maps Realized in CMOS Technology

Rafal Tomasz Dlugosz

The paper presents a programmable triangular neighborhood function for application in low power transistor level implemented Kohonen self-organized maps (SOMs). Detailed simulations carried out for the software model of such network show that the triangula ...

2010