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Josephson traveling wave parametric amplifiers enable the amplification of weak microwave signals close to the quantum limit with large bandwidth, which has a broad range of applications in superconducting quantum computing and in the…

The statistics of signal increments are commonly used in order to test for possible intermittent properties in experimental or synthetic data. However, for signals with steep power spectra [i.e., $E(\omega) \sim \omega^{-n}$ with $n \geq…

Data Analysis, Statistics and Probability · Physics 2010-07-26 Eric Falcon , S. G. Roux , Benjamin Audit

Strong nonlinearity of a self-resonant radio frequency superconducting quantum interference device (rf-SQUID) meta-atom is explored via intermodulation (IM) measurements. Previous work in zero dc magnetic flux showed a sharp onset of IM…

Nonlinear frequency mixing is of critical importance in extending the wavelength range of optical sources. It is also indispensable for emerging applications such as quantum information and photonic signal processing. Conventional lithium…

Optics · Physics 2023-07-24 Pao-Kang Chen , Ian Briggs , Chaohan Cui , Liang Zhang , Manav Shah , Linran Fan

We use analytical examples and asymptotic forms to examine the mathematical structure and physical meaning of the seismic cross correlation measurement. We show that in general, cross correlations are not Green's functions of medium, and…

Earth and Planetary Astrophysics · Physics 2015-06-11 Shravan M. Hanasoge

We show that phononic frequency conversion can be enhanced by orders of magnitude in piezoelectric systems by heterogeneous integration of high-mobility semiconductor films. A lithium niobate and indium gallium arsenide heterostructure is…

A model with interlayer pairing is proposed to explain the sinusoidal modulation of the resonant neutron scattering in high temperature superconductors. It is found that the interlayer pairing has s-wave symmetry in the CuO$_2$ plane and…

Superconductivity · Physics 2009-10-31 Tao Li

Third-order bound-charge electronic nonlinearities of Si nanocrystals (NCs) embedded in a wide band-gap matrix representing silica are theoretically studied using an atomistic pseudopotential approach. Nonlinear refractive index, two-photon…

Materials Science · Physics 2016-08-17 Hasan Yıldırım , Ceyhun Bulutay

In this paper, we examine the parameter estimation performance of three well-known sinusoidal models for speech and audio. The first one is the standard Sinusoidal Model (SM), which is based on the Fast Fourier Transform (FFT). The second…

Audio and Speech Processing · Electrical Eng. & Systems 2026-03-04 George P. Kafentzis

Motivated by the looming "capacity crunch" in fiber-optic networks, information transmission over such systems is revisited. Among numerous distortions, inter-channel interference in multiuser wavelength-division multiplexing (WDM) is…

Information Theory · Computer Science 2014-10-09 Mansoor I. Yousefi , Frank R. Kschischang

We compute the coefficient function for the charge-averaged W^(+/-)-exchange structure function F_3 in deep-inelastic scattering (DIS) to the third order in massless perturbative QCD. Our new three-loop contribution to this quantity forms,…

High Energy Physics - Phenomenology · Physics 2010-04-05 S. Moch , J. Vermaseren , A. Vogt

This paper introduces a novel concept of local synchronization of power systems devices based on the difference between the complex frequency of the voltage and current injected at terminals. Formal definitions are provided to account for…

Systems and Control · Electrical Eng. & Systems 2024-11-13 Ignacio Ponce , Federico Milano

This paper experimentally evaluates the Generalized Sinusoidal Frequency Modulated (GSFM) waveform, a generalization of the Sinusoidal Frequency Modulated (SFM) waveform. The Instantaneous Frequency (IF) of the GSFM resembles the…

Signal Processing · Electrical Eng. & Systems 2021-04-29 David A. Hague , John R. Buck

In this paper, we study the problem of designing a simultaneous mode, input, and state set-valued observer for a class of hidden mode switched nonlinear systems with bounded-norm noise and unknown input signals, where the hidden mode and…

Systems and Control · Electrical Eng. & Systems 2021-02-23 Mohammad Khajenejad , Sze Zheng Yong

Third-order pseudo-transitions in finite systems reflect reorganization beyond conventional criticality, yet their identification usually relies on microcanonical entropy, which is often inaccessible in practice. Here we introduce a…

Statistical Mechanics · Physics 2026-04-23 Wei Liu , Songzhi Lv , Xin Zhang , Fangfang Wang , Kai Qi , Zengru Di

We propose a data-aided transmit beamforming scheme for the multi-user multiple-input-single-output (MISO) downlink channel. While conventional beamforming schemes aim at the minimization of the transmit power subject to suppressing…

Information Theory · Computer Science 2023-07-19 C. Masouros , G. Zheng

Three-node full-duplex is a promising new transmission mode between a full-duplex capable wireless node and two other wireless nodes that use half-duplex transmission and reception respectively. Although three-node full-duplex transmissions…

Information Theory · Computer Science 2016-03-08 Jose Mairton B. da Silva , Yuzhe Xu , Gabor Fodor , Carlo Fischione

Feeding the common-source amplifier output to the back-gate terminal in fully depleted silicon on insulator (FD-SOI) technology exploits the linearizing effect of negative feedback. Analysis and simulation results in 22 nm FD-SOI show that…

Signal Processing · Electrical Eng. & Systems 2026-01-27 Eric Danson , Jeffrey S. Walling

During the normal operation of a power system all the voltages and currents are sinusoids with a frequency of 60 Hz in America and parts of Asia, or of 50Hz in the rest of the world. Forcing all the currents and voltages to be sinusoids…

Systems and Control · Computer Science 2014-02-04 Sina Y. Caliskan , Paulo Tabuada

In this paper, we investigate data-driven parameterized modeling of insertion loss for transmission lines with respect to design parameters. We first show that direct application of neural networks can lead to non-physics models with…

Machine Learning · Computer Science 2021-10-15 Liang Chen , Lesley Tan
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