Results 271 to 280 of about 329,555 (323)
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Journal of Applied Geodesy, 2020
Abstract Satellite signal strength sometimes decreases when multipath exists. This effect reduces signal quality and can lead to a large static positioning error, even the survey-grade receivers are used. Three signal selection methods based on signal-to-noise ratio (SNR) measurements were proposed. The first was the conventional method,
Valanon Uaratanawong +2 more
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Abstract Satellite signal strength sometimes decreases when multipath exists. This effect reduces signal quality and can lead to a large static positioning error, even the survey-grade receivers are used. Three signal selection methods based on signal-to-noise ratio (SNR) measurements were proposed. The first was the conventional method,
Valanon Uaratanawong +2 more
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Deep Learning Based Prediction of Signal-to-Noise Ratio (SNR) for LTE and 5G Systems
2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM), 2020Deep learning (DL) is applied to predict signal-to-noise ratio (SNR) in de facto LTE and 5G systems in a non-data-aided (NDA) manner. Various channel conditions and impairments are considered, including modulation types, path delays, and Doppler shifts. Both time-domain and frequency-domain signal grids are evaluated as inputs for SNR prediction.
Thinh Ngo, Brian Kelley, Paul Rad
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Signal-to-noise-ratio (SNR) of X-ray imaging scintillators determined by luminescence measurements
Applied Radiation and Isotopes, 1999A new method for studying the signal-to-noise-ratio (SNR) of X-ray imaging scintillators was developed. SNR was expressed in terms of the X-ray luminescence eAciency (XLE) the X-ray to emitted light conversion eAciency and the mean light photon energy.
D. Cavouras +4 more
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Signal-to-noise ratio (SNR) as a measure of reproducibility: design, estimation, and application
Health Services and Outcomes Research Methodology, 2008This paper proposes the use of signal-to-noise ratio (SNR) as another index of a measurement’s reproducibility. We derive its maximum likelihood estimation and discuss confidence interval construction within the framework of the one-way random effect model.
N. Elkum, M. M. Shoukri
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Enhancement of signal to noise ratio using bispectrum a quantitative analysis for very low SNR
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005Bispectrum has been widely used to enhance the SNR. This is based on the assumption that the HOS properties of the signal of interest are different to the HOS properties of. the noise. In the present work, we consider the use of bispectrum techniques when repeated measurements are made of a deterministic signal embedded in random noise where SNR is in ...
P. Yeganeh, M.H. Moradi, A. Reshad
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[Improving SNR (signal to noise ratio) in multichannel EEG recording].
Biomedizinische Technik. Biomedical engineering, 2003The main problem in measurements of the focal VEP (Visual Evoked Potential) is its weak SNR (Signal-to-Noise Ratio). The most common method for enhancement of the SNR is the stimulus synchronized averaging. For study of single responses other ways in SNR improvement are needed. In this contribution a new method based on space-time selective measurement
P, Husar +4 more
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Calculation of signal-to-noise ratio (SNR) of infrared detection system based on MODTRAN model
SPIE Proceedings, 2013Signal-to-noise ratio (SNR) is an important parameter of infrared detection system. SNR of infrared detection system is determined by the target infrared radiation, atmospheric transmittance, background infrared radiation and the detector noise. The infrared radiation flux in the atmosphere is determined by the selective absorption of the gas molecules,
Xue Lu, Chuang Li, Xuewu Fan
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Analog digital converter (ADC) having improved stability and signal to noise ratio (SNR)
The Journal of the Acoustical Society of America, 2009A sigma delta (ΣΔ) analog to digital converter (ADC) that compensates for the adverse effects associated with the time delay introduced by delay circuitry of the feedback loop. This ΣΔ ADC includes a first summing stage, first integrator, second summing stage, second integrator, quantizer, and feedback loop. The second integrator has associated with it
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A deep-learning-based Signal-to-Noise Ratio (SNR) adaptive uniformity correction method
ISMRM Annual MeetingMotivation: Intensity normalization in MRI is crucial for consistent image analysis. However, naïve uniformity correction (UC) using pre-collected coil sensitivity distribution may over-compensate low-SNR regions and reduce visual quality. Goal(s): This study aims to develop an SNR-adaptive UC method to prevent over-compensation in low-SNR ...
Li Tong, Puwei Wang, Zhenkui Wang
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2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), 2014
Detection of inchoate fault demands high level of fault classification accuracy under poor signal-to-noise ratio (SNR) which appears in most industrial environment. Vibration signal analysis methods are widely used for bearing fault detection. In order to guarantee improved performance under poor SNR, feature extraction based on statistical parameters ...
Moussa Hamadache, Dongik Lee
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Detection of inchoate fault demands high level of fault classification accuracy under poor signal-to-noise ratio (SNR) which appears in most industrial environment. Vibration signal analysis methods are widely used for bearing fault detection. In order to guarantee improved performance under poor SNR, feature extraction based on statistical parameters ...
Moussa Hamadache, Dongik Lee
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