Results 21 to 30 of about 329,555 (323)

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

, 2020
With the non-ionizing, non-invasive, high penetration, high resolution and spectral fingerprinting features of terahertz (THz) wave, THz spectroscopy has great potential for the qualitative and quantitative identification of key substances in biomedical ...
Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, S. Zhuang   +4 more
semanticscholar   +1 more source

Weak-periodic stochastic resonance in a parallel array of static nonlinearities.

PLoS ONE, 2013
This paper studies the output-input signal-to-noise ratio (SNR) gain of an uncoupled parallel array of static, yet arbitrary, nonlinear elements for transmitting a weak periodic signal in additive white noise.
Yumei Ma, Fabing Duan, François Chapeau-Blondeau, Derek Abbott   +3 more
doaj   +1 more source

Speech Enhancement Algorithm Based on Auditory Masking Effect [PDF]

Jisuanji gongcheng, 2017
For speech signals in low Signal-to-Noise Ratio(SNR) environment,residual background noise is large when using the traditional spectral subtraction method.Aiming at this problem,this paper puts forward an improved speech enhancement algorithm based on ...
CAI Jun,LI Fei,ZHANG Yi
doaj   +1 more source

Modeling Signal-to-Noise Ratio of CMOS Image Sensors with a Stochastic Approach under Non-Stationary Conditions

Sensors, 2023
A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS), assuming stationary conditions was recently presented in this journal.
Gil Cherniak, Jonathan Nemirovsky, Amikam Nemirovsky, Yael Nemirovsky   +3 more
doaj   +1 more source

Study on the signal-to-noise ratio of Brillouin optical-time domain analyzers.

Optics Express, 2020
The signal-to-noise ratio (SNR) of Brillouin optical time-domain analyzers (BOTDA) is modelled and experimentally validated, using direct detection with and without the use of optical pre-amplification.
Sheng Wang, Zhisheng Yang, M. Soto, L. Thévenaz   +3 more
semanticscholar   +1 more source

Analysis methods of noise extraction from CT images [PDF]

Journal of Electrical and Electronics Engineering, 2009
This paper presents a comparativeanalysis of the efficiency of certain filters used forextracting the noise from CT (Computer Tomography)images. Appreciation of filtration methods is based onthe use of mean squared error and direct visualizationof the ...
Ioan Gavriluţ, Alexandru Gacsádi, Cristian Grava, Oreste Straciuc, Laviniu Ţepelea   +4 more
doaj  

Improvement of Noise Uncertainty and Signal-To-Noise Ratio Wall in Spectrum Sensing Based on Optimal Stochastic Resonance

Sensors, 2019
Noise uncertainty and signal-to-noise ratio (SNR) wall are two very serious problems in spectrum sensing of cognitive radio (CR) networks, which restrict the applications of some conventional spectrum sensing methods especially under low SNR ...
Di He, Xin Chen, Ling Pei, Lingge Jiang, Wenxian Yu   +4 more
doaj   +1 more source

Optimal Alignment Sensing of a Readout Mode Cleaner Cavity [PDF]

, 2011
Critically coupled resonant optical cavities are often used as mode cleaners in optical systems to improve the signal to noise ratio (SNR) of a signal that is encoded as an amplitude modulation of a laser beam. Achieving the best SNR requires maintaining
Anderson, Breitenbach, Grote, K. Kawabe, Kawabe, Kippenberg, M. Evans, N. Mavalvala, N. Smith-Lefebvre, S. Ballmer, S. Waldman, Sigg, V. Frolov   +12 more
core   +2 more sources

Deep Learning-Based Signal-To-Noise Ratio Estimation Using Constellation Diagrams

Mobile Information Systems, 2020
Signal-to-noise ratio (SNR) estimation is a fundamental task of spectrum management and data transmission. Existing methods for SNR estimation usually suffer from significant estimation errors when SNR is low.
Xiaojuan Xie, Shengliang Peng, Xi Yang
semanticscholar   +1 more source

Improved method for SNR prediction in machine-learning-based test [PDF]

, 2010
This paper applies an improved method for testing the signal-to-noise ratio (SNR) of Analogue-to-Digital Converters (ADC). In previous work, a noisy and nonlinear pulse signal is exploited as the input stimulus to obtain the signature results of ADC.
Kerkhoff, Hans G., Sheng, Xiaoqin
core   +2 more sources