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Noise Modeling and Simulation of Giant Magnetic Impedance (GMI) Magnetic Sensor [PDF]
Sensors, 2020 The detection resolution of a giant magneto-impedance (GMI) sensor is mainly limited by its equivalent input magnetic noise. The noise characteristics of a GMI sensor are evaluated by noise modeling and simulation, which can further optimize the circuit ...
Fang Jin +10 more
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Multidimensional Speckle Noise Model [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 One of the main problems of SAR imagery is the presence of speckle noise, originated by the inherent coherent nature of this type of systems. For one-dimensional SAR systems it has been demonstrated that speckle can be considered as a multiplicative ...
Fàbregas Xavier +2 more
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Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection
Remote Sensing, 2019 Hyperspectral image (HSI) change detection plays an important role in remote sensing applications, and considerable research has been done focused on improving change detection performance.
Xuelong Li, Zhenghang Yuan, Qi Wang
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Noise Modeling of the Overhauser Magnetometer [PDF]
SensorsThe Overhauser magnetometer (OVM) is an electron resonance-enhanced nuclear magnetic resonance (NMR) magnetometer, which significantly enhances the Larmor signal, hence the signal-to-noise ratio (SNR) and sensitivity compared to traditional proton magnetometers (PM).
Gong, Xiaorong +2 more
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Execution-AwareSegmented Modeling of Temporally Correlated Flux-Induced Phase Noise in Quantum Circuits [PDF]
EntropyTemporally correlated flux-induced phase noise can influence superconducting-quantum-circuit execution in ways that are not fully captured by uncorrelated, memoryless, or gate-averaged noise models. In this work, we develop an execution-oriented, circuit-
Hongxiang Zhu +4 more
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Sensors, 2015 To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed.
Lei Huang
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Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior
Remote Sensing, 2023 Deep image prior (DIP) is a powerful technique for image restoration that leverages an untrained network as a handcrafted prior. DIP can also be used for hyperspectral image (HSI) denoising tasks and has achieved impressive performance.
Yifan Wang +5 more
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Scalable Small Signal and Noise Modeling of InP HEMT for THz Application
IEEE Journal of the Electron Devices Society, 2023 Scalable small signal and noise modeling for 90nm InP high electron mobility transistor (HEMT) is proposed in this paper. Analytical expressions for the noise parameters of the intrinsic part are derived from an accurate small signal and noise equivalent
Ao Zhang, Jianjun Gao
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Modeling and Analysis of Noise Emission Using Data from Flight Simulators
Applied Sciences, 2023 The main goal of this article is to examine the impact of various factors, including the aircraft take-off weight and configuration, on the noise and gaseous emissions.
Filip Tlałka, Paweł Rzucidło
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Noise Mapping, 2023 The impact of noise can arise from the operation of a mineral ore processing plant in the mining industry, such as PT Freeport Indonesia. The use of advanced technology in modern industry, like SAG#3, has increased production productivity but can also ...
Putro Edi Karyono +2 more
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