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A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control

Alexandre Schmid, Reza Ranjandish

Closed-loop implantable electronics offer a new trend in therapeutic systems aimed at controlling some neurological diseases such as epilepsy. Seizures are detected and electrical stimulation applied to the brain or groups of nerves. To this aim, the signa ...

2020

3D Smith chart constant quality factor semi-circles contours for positive and negative resistance circuits

Mihai Adrian Ionescu, Andrei Müller

The article firstly proves that the constant quality factor (Q) contours for passive circuits, while represented on a 2D Smith chart, form circle arcs on a coaxal circle family. Furthermore, these circle arcs represent semi-circles families in the north he ...

2020

Active Phase-Conjugating Rotman Lens With Reflection Amplifiers for Backscattering Enhancement

Pouyan Keshavarzian

Active retrodirective antenna arrays find a variety of use in applications involving wireless communication and sensing systems. This article presents a novel active version of the phase-conjugating Rotman lens with negative conductance amplifiers for appl ...

Institute of Electrical and Electronics Engineers2020

Aqueous effluent treatment system

Jeremy Luterbacher, Gaël Peng, Frédéric Edouard Juillard, Lionel Bertschy

Aqueous effluent treatment system (2) including a separation reactor (4) having a reactor chamber fluidly connected to an aqueous effluent source (3), connected via a pump (5) to an inlet (34) of the reactor chamber, a fluid extraction system (6) connected ...

2020

More Results on Shortest Linear Programs

Subhadeep Banik

At the FSE conference of ToSC 2018, Kranz et al. presented their results on shortest linear programs for the linear layers of several well known block ciphers in literature. Shortest linear programs are essentially the minimum number of 2-input xor gates r ...

2019

3D Smith charts scattering parameters frequency-dependent orientation analysis and complex-scalar multi-parameter characterization applied to Peano reconfigurable vanadium dioxide inductors

Mihai Adrian Ionescu, Andreas Schueler, Anna Krammer, Josef Andreas Schuler, Junrui Zhang, Montserrat Fernandez-Bolanos Badia, Emanuele Andrea Casu, Matteo Cavalieri, Andrei Müller

Recently, the field of Metal-Insulator-Transition (MIT) materials has emerged as an unconventional solution for novel energy efficient electronic functions, such as steep slope subthermionic switches, neuromorphic hardware, reconfigurable radiofrequency fu ...

Nature Research2019

Low-Power Design of Digital VLSI Circuits around the Point of First Failure

Andrea Bonetti

As an increase of intelligent and self-powered devices is forecasted for our future everyday life, the implementation of energy-autonomous devices that can wirelessly communicate data from sensors is crucial. Even though techniques such as voltage scaling ...

EPFL2019

Training fully connected networks with resistive memories: impact of device failures

Giorgio Cristiano, Massimo Giordano, Martina Bodini

Hardware accelerators based on two-terminal non-volatile memories (NVMs) can potentially provide competitive speed and accuracy for the training of fully connected deep neural networks (FC-DNNs), with respect to GPUs and other digital accelerators. We rece ...

2019

A high sensitivity low-power capacitive front-end for insulin injection pens

Maher Kayal, François Krummenacher, Jean-Baptiste Robert Orhan, François Pierre Gaugaz

A low-power 14-bits first order incremental Analog-to-Digital Converter (ADC) is presented. Based on the charge balancing principle, this switched-capacitor (SC) circuit integrates the input signal multiple times to reach the targeted resolution, linearity ...

ELSEVIER SCI LTD2019

Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification

Christian Enz, Minhao Yang

We present our recent progress in ultra-low-power intelligent acoustic sensing that harnesses the high power and energy efficiency of cochlea-like analog feature extraction and binarized neural network classification. Compared with conventional methods inc ...

IEEE2019

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A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control

Alexandre Schmid, Reza Ranjandish

2020

3D Smith charts scattering parameters frequency-dependent orientation analysis and complex-scalar multi-parameter characterization applied to Peano reconfigurable vanadium dioxide inductors

Mihai Adrian Ionescu, Andreas Schueler, Anna Krammer, Josef Andreas Schuler, Junrui Zhang, Montserrat Fernandez-Bolanos Badia, Emanuele Andrea Casu, Matteo Cavalieri, Andrei Müller

Nature Research2019

Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification

Christian Enz, Minhao Yang

IEEE2019