Publications related to RLC circuit

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Andreas Peter Burg, Christoph Studer, Chuan Zhang

This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to demonstrating the latest research progress on artificial intelligence for 5G and beyond 5G (B5G) with respect to implementations, algori ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Measurement of Frequency Tuning Curves of Soliton Self-Injection Locking to a Nonlinear Microresonator

Tobias Kippenberg, Andrey Voloshin, Grigorii Likhachev, Junqiu Liu

Self-injection locking effect eliminates the need for bulky narrow-linewidth, tunable, continuous-wave laser for pumping of high-Q optical microresonators, utilizing bare laser diodes. Here we propose an experimental technique, which allows measuring the m ...

IEEE2020

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani

BACKGROUND The isthmus of ventricular tachycardia (VT) circuits has been extensively characterized. Few data exist regarding the contribution of the outer loop (OL) to the VT circuit. OBJECTIVE The purpose of this study was to characterize the electrophysi ...

2020

A 6.5-GHz Cryogenic All-Pass Filter Circulator in 40-nm CMOS for Quantum Computing Applications

Edoardo Charbon, Andrea Ruffino, Yatao Peng, Fabio Sebastiano

Cryogenic solid-state quantum processors require classical control and readout electronics; to achieve compactness and scalability, cryogenic integrated circuits have been recently proposed for this goal. Circulators are widely used in readout circuits, ho ...

2019

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Alessandro Enrico Foni, Sébastien Nicolas Speierer, Samuel Lieven D. Lapere, Jonas Kristofer Karlsson

We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of our method is demonstrated in comparison with using implicit geometry that is limited t ...

IEEE2019

Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

Alexandre Sébastien Julien Levisse, Etienne Nowak

Energy efficiency remains a challenge for the design of non-volatile resistive memories (ReRAMs) arrays. This memory technology suffers from intrinsic variability in switching speed, programming voltages and resistance levels. The programming conditions of ...

2019

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

Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids

Giancarlo Ferrari Trecate, Alessandro Floriduz, Michele Tucci

Kron reduction (KR) is a methodology for analyzing an electrical network by replacing it with a simpler circuit having less nodes but the same terminal behavior of voltages and currents at target vertices. Existing approaches to instantaneous KR, however, ...

2019

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

Drazen Dujic, Francisco Daniel Freijedo Fernández, Marc Ferrer Duran

Modern grids are facing a massive integration of power electronics devices, usually associated to instability issues. In order to assess the likelihood and severity of harmonic instability in the high frequency region, this work develops a multi-variable i ...

2019

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RLC circuit

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Measurement of Frequency Tuning Curves of Soliton Self-Injection Locking to a Nonlinear Microresonator

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

A 6.5-GHz Cryogenic All-Pass Filter Circulator in 40-nm CMOS for Quantum Computing Applications

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

More Results on Shortest Linear Programs

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

Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

Graph Chatbot

Chat with Graph Search

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

A 6.5-GHz Cryogenic All-Pass Filter Circulator in 40-nm CMOS for Quantum Computing Applications

Measurement of Frequency Tuning Curves of Soliton Self-Injection Locking to a Nonlinear Microresonator

Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids

Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

More Results on Shortest Linear Programs

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

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