Results 291 to 300 of about 2,537,807 (351)

Noise Suppression in Coherent Imaging

Applied Optics, 1973
Several noise suppression techniques in coherent imaging systems are described. For holographic imaging the diffuse wave, periodic phase modulation, and multiple wave techniques are compared and the implementation of the last is considered. For lens-type imaging systems the use of multiple incoherent waves results in excellent noise suppression.
J, Upatnieks, R W, Lewis
openaire   +2 more sources

Data Augmentation and Loss Normalization for Deep Noise Suppression

International Conference on Speech and Computer, 2020
Speech enhancement using neural networks is recently receiving large attention in research and being integrated in commercial devices and applications.
Sebastian Braun, I. Tashev
semanticscholar   +1 more source

Is It Possible To Suppress Noise By Noise In Semiconductors?

AIP Conference Proceedings, 2005
We investigate the possibility to suppress the diffusion noise in semiconductor bulk materials by adding to the constant electric field a fluctuating contribution characterized by a gaussian distribution and a characteristic time. The general theory is applied to the specific cases of Si and GaAs and investigated by Monte Carlo simulations.
Varani, L., Palermo, C., de Vasconcelos, C., Millithaler, J.-F., Vaissière, J.-C., Nougier, J.-P., Starikov, E., Shiktorov, P., Gružinskis, V.   +8 more
openaire   +1 more source

Suppression of Self-Noise and Environmental Disturbances by Fusion in Fiber-Optic Gyroscopes for Precision Measurement

IEEE Sensors Journal, 2023
We present a study of noise suppression by fusion in fiber-optic gyroscopes based on the source-sharing architecture. A theoretical model is proposed for the detailed analysis of the noise mechanism.
Yanjun Chen, Lanxin Zhu, Yuwen Cao, Wenbo Wang, Huimin Huang, Yan He, Xiangdong Ma, Zhengbin Li   +7 more
semanticscholar   +1 more source

Deep Residual Encoder–Decoder Networks for Desert Seismic Noise Suppression

IEEE Geoscience and Remote Sensing Letters, 2020
The convolutional neural network (CNN) has achieved excellent performance in many fields, which has attracted much attention. CNN is a kind of feedforward neural network with convolution computation and depth structure.
Haitao Ma, Haiyang Yao, Yue Li, Hongzhou Wang   +3 more
semanticscholar   +1 more source

Wideband Power/Ground Noise Suppression in Low-Loss Glass Interposers Using a Double-Sided Electromagnetic Bandgap Structure

IEEE transactions on microwave theory and techniques, 2020
In this article, we propose a double-sided electromagnetic bandgap (DS-EBG) structure for glass interposers (GIs) with low substrate loss to suppress power/ground noise.
Youngwoo Kim, Gapyeol Park, Kyungjun Cho, P. Raj, R. Tummala, Joungho Kim   +5 more
semanticscholar   +1 more source

Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
Computing time-varying linear systems is widely encountered in engineering practice and scientific computation. Dynamic neural networks, as a class of modeling approaches, have been intensively explored in recent decades for solving linear equations. The
Lin Xiao, Shuai Li, KenLi Li, Long Jin, Bolin Liao   +4 more
semanticscholar   +1 more source

Noise suppression by removing singularities

IEEE Transactions on Signal Processing, 2000
A method is proposed for suppressing Gaussian noise by extracting local singularities. The method is based on truncating Riemann series decomposition, whose components naturally characterize different orders of Holder regularity. The approach yields a single-step filtering technique whose performance is comparable to three-step wavelet decomposition ...
openaire   +1 more source

Noise suppression for magnetotelluric using variational mode decomposition and detrended fluctuation analysis

, 2020
Noise suppression is significant for magnetotelluric (MT) data analysis, especially in the face of strong human electromagnetic interference. Variational mode decomposition (VMD) is a novel signal processing method, and the selection of proper ...
Jin Li, Xian Zhang, Jingtian Tang
semanticscholar   +1 more source

Near-infrared methane sensor system using off-axis integrated cavity output spectroscopy with novel dual-input dual-output coupling scheme for mode noise suppression

, 2020
Mode noise suppression in off-axis integrated cavity output spectroscopy (OA-ICOS) is a key for improving the signal-to-noise ratio (SNR) of a sensor system, which basically depends on the ability to smooth out the cavity mode structure and to reduce the
Kaiyuan Zheng, Chuantao Zheng, Junhao Li, Ningning Ma, Zidi Liu, Yu Zhang, Yiding Wang, F. Tittel   +7 more
semanticscholar   +1 more source