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Estimating Signal-to-Noise Ratio (SNR)

IEEE Journal of Oceanic Engineering, 2008
In many scientific studies involving evaluation of competing ocean engineering systems or the fundamental limits of system performance it is necessary to compare signal power with noise power; in particular, one needs to estimate the signal-to-noise ratio (SNR).
B.T. Bosworth   +4 more
exaly   +2 more sources

The measurement of the signal-to-noise ratio (SNR) in continuous speech

Speech Communication, 1987
Abstract In voiced speech segments, natural noise is the sum of modulation noise due to the irregularly vibratory patterns of the vocal folds, and additive noise due to the air stream in a glottal chink. The noise content can be evaluated by the signal-to-noise ratio (SNR).
F Klingholz
exaly   +2 more sources

Research on signal-to-noise ratio (SNR) affect physiological parameters in tumor

2010 3rd International Conference on Biomedical Engineering and Informatics, 2010
Deconvolution method has been used to estimate physiological (functional) parameters, such as blood flow (F), blood volume (V), mean transit time (MTT), and capillary permeability surface area product (PS), but it is very sensitive to the effect of noise.
Ying Qian, Yang Zhang
exaly   +2 more sources

Estimation of the signal-to-noise ratio (SNR) in communication simulation

IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond, 2003
The authors discuss the estimation of signal-to-noise ratio (SNR), with a view to its implementation in simulation. They extend previous results (see W.H. Tranter and M.D. Turner, 1977; and M.D. Turner et al., 1977) for the distribution of the SNR for an idealized channel to the linear channel. They also place the problem within a Hilbert space context,
M.C. Jeruchim, R.J. Wolfe
openaire   +1 more source

Signal-To-Noise Ratio (SNR) And Sensitivity Equations For An Enclosed Radiothermometer

SPIE Proceedings, 1985
A radiothermometer for surface temperature measurement is designed with an enclosed cham-ber to eliminate any uncontrolled circumferential irradiation. This paper addresses the signal-to-noise ratio (SNR) and the noise-equivalent temperature difference (NETD) equations in terms of system parameters.
Lixin Chen, Bing T. Yang
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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), 2020
Deep 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 Todd Kelley, Paul Rad
openaire   +1 more source

The signal-to-noise ratio (SNR) required for the estimation of foliar biochemical concentrations

International Journal of Remote Sensing, 1996
Abstract This paper compares estimates of the signal-to-noise ratio(SNR) required by imaging spectrometers for the estimation of foliar biochemical concentrations and the SNR currently achieved by ...
G. M. SMITH, P. J. CURRAN
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