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Analog Compute-in-Memory (CiM) accelerators use analog-digital converters (ADCs) to read the analog values that they compute. ADCs can consume significant energy and area, so architecture-level ADC decisions such as ADC resolution or number…

Hardware Architecture · Computer Science 2024-05-15 Tanner Andrulis , Ruicong Chen , Hae-Seung Lee , Joel S. Emer , Vivienne Sze

We suggest a SQUID amplifier configuration with improved power efficiency, for applications where cooling budgets are limited, in particular superconducting detector array readouts in space observatories. The suggested two-SQUID…

Instrumentation and Methods for Astrophysics · Physics 2020-11-30 Mikko Kiviranta

Communication systems use the concept of transmitting information using the electrical distribution network as a communication channel. To enable the transmission data signal modulated on a carrier signal is superimposed on the electrical…

Hardware Architecture · Computer Science 2012-03-12 Naagesh S. Bhat

Current Sensitive Preamplifiers (CSPs) are widely used in front-end electronics in data acquire system (DAQ), due to their ability to amplify signals directly. The optimization of energy resolution requires CSPs with suitable parameters…

Instrumentation and Detectors · Physics 2020-10-27 Lin Jiang , Jinfu Zhu , Tao Xue , Jingjun Wen , Liangjun Wei , Jianmin Li , Yinong Liu

While digital electronics has become entirely ubiquitous in today's world and appears in the limelight, analogue electronics is still playing a crucial role in many devices and applications. Current analogue circuits are mostly manufactured…

This paper proposes a novel multilevel inverter for automotive applications. The topology consists of a modular DCDC converter and a tap selector, where the DC-DC converter provides several DC-output levels and the tap selector produces an…

Systems and Control · Electrical Eng. & Systems 2020-11-25 Ferdinand Grimm , John Wood , Mehdi Baghdadi

Recently, the demand of low-power deep-learning hardware for industrial applications has been increasing. Most existing artificial intelligence (AI) chips have evolved to rely on new chip technologies rather than on radically new hardware…

Machine Learning · Computer Science 2020-02-14 Byungik Ahn

This paper proposes four quadrant analog multiplier using CMOS-memristor circuit. Currently, there are plenty of analog multipliers using resistors and CMOS transistors. They can attain perfect multiplication but have several disadvantages…

Emerging Technologies · Computer Science 2019-08-28 Ileskhan Kalysh , Olga Krestinskaya , Alex Pappachen James

In this work, the designs of a single-stage and 2-stage 2.4 GHz power amplifier (PA) are presented. The proposed PAs have been designed to provide high gain and improved efficiency using harmonic suppression and optimized impedance matching…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Ayyaz Ali , Syed Waqas Haider Shah , Khalid Iqbal

This paper proposes and evaluates a novel architecture for a low-power Time-to-Digital Converter with high resolution, optimized for both integration in multichannel chips and high rate operation (40 Mconversion/s/channel). This converter…

Signal Processing · Electrical Eng. & Systems 2023-06-02 Florent Bouyjou

Generative AI, in particular large transformer models, are increasingly driving HPC system design in science and industry. We analyze performance characteristics of such transformer models and discuss their sensitivity to the transformer…

Directional amplifiers are crucial nonreciprocal devices in both classical and quantum information processing. Here we propose a scheme for realizing a directional amplifier between optical and microwave fields based on an optomechanical…

Quantum Physics · Physics 2018-05-22 Cheng Jiang , L. N. Song , Yong Li

A wide-band current preamplifier based on a composite operational amplifier is proposed. It has been shown that the bandwidth of the preamplifier can be significantly increased by enhancing the effective open-loop gain of the composite…

Instrumentation and Detectors · Physics 2012-10-11 Andrey V. Kretinin , Yunchul Chung

We show that a capacitive wireless power transfer device can be designed as a self-oscillating circuit using operational amplifiers. As the load and the capacitive wireless channels are part of the feedback circuit of the oscillator, the…

Applied Physics · Physics 2019-06-25 Fu Liu , Bhakti Chowkwale , Sergei A. Tretyakov

Edge audio devices can reduce data bandwidth requirements by pre-processing input speech on the device before transmission to the cloud. As edge devices are required to ensure always-on operation, their stringent power constraints pose…

Audio and Speech Processing · Electrical Eng. & Systems 2023-04-24 Kwantae Kim , Shih-Chii Liu

We give a quantum master equation description of the measurement scheme based on a coplanar microwave cavity capacitively coupled to nano mechanical resonator. The system exhibits a rich bifurcation structure that is analogous to sub/second…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 G. J. Milburn , C. A. Holmes , L. M. Kettle , H. S. Goan

The derivation of combined prefactored compact schemes for first and second order derivatives is described here, relying on the Fourier analysis of the original prefactored compact schemes. By this approach, the order of accuracy of the…

Numerical Analysis · Mathematics 2019-02-13 Adrian Sescu

Inspired by the direct use of alternating current (AC) for computation, we propose a novel integrated information and energy receiver architecture for simultaneous wireless information and power transfer (SWIPT) networks. In this context,…

Information Theory · Computer Science 2019-01-21 Ha-Vu Tran , Georges Kaddoum

Heisenberg uncertainty relations for current components impose constraints on the performance of linear amplifiers. Here we derive such constraints for amplifiers in which the input signal modulates a bias current in order to produce an…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 U. Gavish , B. Yurke , Y. Imry

To improve device robustness, a highly desirable key feature of a competitive data-driven acoustic scene classification (ASC) system, a novel two-stage system based on fully convolutional neural networks (CNNs) is proposed. Our two-stage…