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2014
In considering communication link performance, signal-to-noise ratio (SNR) is an extremely important concept. It is the common way to quantify the quality of the signal at any point in the communication process. Ultimately, it is the SNR that determines whether or not adequate communication takes place, but as will be seen in later chapters its ...
Matthew E. Cross, Emma V. E. Plunkett
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In considering communication link performance, signal-to-noise ratio (SNR) is an extremely important concept. It is the common way to quantify the quality of the signal at any point in the communication process. Ultimately, it is the SNR that determines whether or not adequate communication takes place, but as will be seen in later chapters its ...
Matthew E. Cross, Emma V. E. Plunkett
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SPIE Proceedings, 2006
We argue that the standard definition of signal to noise ratio may be misleading when the signal or noise are nonstationary. We introduce a new measure that we call local signal to noise ratio (LSNR) which is well suited to take into account nonstationary situations.
GALLEANI, Lorenzo, COHEN L, NELSON D.
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We argue that the standard definition of signal to noise ratio may be misleading when the signal or noise are nonstationary. We introduce a new measure that we call local signal to noise ratio (LSNR) which is well suited to take into account nonstationary situations.
GALLEANI, Lorenzo, COHEN L, NELSON D.
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Improving the Signal‐to‐Noise Ratio of Seismological Datasets by Unsupervised Machine Learning
Seismological Research Letters, 2019Seismic waves that are recorded by near-surface sensors are usually disturbed by strong noise. Hence, the recorded seismic data are sometimes of poor quality; this phenomenon can be characterized as a low signal-to-noise ratio (SNR).
Yangkang Chen +3 more
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On signal-to-noise ratio estimation
Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010A new simple algorithm for estimating signal-to-noise ratio (SNR) for a signal consisting of one sinusoid in white Gaussian noise is proposed in this paper. Algorithm is based on autocorrelation and modified covariance methods for AR (Autoregressive) spectral estimation.
Predrag Tadic +3 more
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Contrast and Signal-to-Noise Ratio
1996In an MR image, information is contained in the variation across the image of one single parameter: the grey level, which is a proportional to the signal level at that position. This parameter, called contrast, is the result of three properties of the imaged tissue: the proton density, p; the spin-lattice relaxation time, T 1; and the spin-spin ...
Marinus T. Vlaardingerbroek +1 more
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Comparison of Signal-to-Noise Ratios
Analytical Chemistry, 1997The probability distribution (density) function for the experimental signal-to-noise ratio (SNR) defined as x/s, where x is the sample mean and s is the customary sample standard deviation, has been derived and found to be in excellent agreement with accurate Monte Carlo simulation results.
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The British Journal of Radiology, 1998
in RF receiving coil design. However, modern is proportional to 0 , so that their population imaging techniques often demand very high speed difference is larger at high values of 0 . Since the and spatial resolution, so that the highest possible ratio of the energy difference to thermal energy is SNR is still required to avoid poor image quality. very
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in RF receiving coil design. However, modern is proportional to 0 , so that their population imaging techniques often demand very high speed difference is larger at high values of 0 . Since the and spatial resolution, so that the highest possible ratio of the energy difference to thermal energy is SNR is still required to avoid poor image quality. very
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Improved Signal-to-Noise Ratio in Neurophysiology
IEEE Transactions on Biomedical Engineering, 1971A circuit which has low gain for small signals and high gain for larger signals and which improves the signal-to-noise ratio of nerve impulse sequences is described.
F. A. Steiner, J. P. Villoz
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A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior.
Science, 1990At the level of individual neurons, catecholamine release increases the responsivity of cells to excitatory and inhibitory inputs. A model of catecholamine effects in a network of neural-like elements is presented, which shows that (i) changes in the ...
D. Servan-Schreiber, H. Printz, J. Cohen
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The estimation of the signal-to-noise ratio of a nanoparticle [PDF]
Journal of Physics D: Applied Physics, 2001 The quality of a single-domain nanoparticle as a signal processing device is estimated with the aid of the signal-to-noise ratio (SNR) characteristic. In the absence of an external field, the magnetic moment of a uniaxial particle flips spontaneously between two anti-parallel equilibrium positions ensuing customary superparamagnetism.
P.C. Fannin, Yu. L. Raikher
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