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Signal-to-Noise Ratio

, 2013
Signal-to-noise ratio.
Will Gragido, Johnl Pirc, Nick Selby, Daniel Molina   +3 more
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Noise and signal-to-noise ratio in electrochemical detectors

Analytical Chemistry, 1984
Le bruit de la bande de base est domine par les fluctuations d'impedance en dessous de quelques hertz et par le bruit de la tension electronique dans la gamme de frequence entre quelques hertz et 10 ...
D M, Morgan, S G, Weber
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Comparison of Signal-to-Noise Ratios

Analytical Chemistry, 1997
The 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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Signal to noise ratio

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 ...
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Signal-to-Noise Ratio

2009
To quantify the instrument's performance, the spectral signal-to-noise ratio (SNR) is used as the main measure throughout this book. The term has been used somewhat inconsistently; in some cases, it is used to quantify spectral repeatability, and in others, it is used to quantify spectral accuracy.
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Interference and Signal-to-Noise-Ratio

2007
In a wireless network, a signal sent from one node to another suffers from physical effects. It will be attenuated, where the amount of loss depends on the physical medium it passes through, the distance it travels, and many other influences. The signal cannot be decoded the signal if it is too weak at the receiver.
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Learning with the kernel signal to noise ratio

2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012
This paper presents the application of the kernel signal to noise ratio (KSNR) in the context of feature extraction to general machine learning and signal processing domains. The proposed approach maximizes the signal variance while minimizes the estimated noise variance in a reproducing kernel Hilbert space (RKHS).
Luis Gómez-Chova, Gustavo Camps-Valls
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Improved Signal-to-Noise Ratio in Neurophysiology

IEEE Transactions on Biomedical Engineering, 1971
A 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.
J P, Villoz, F A, Steiner
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Signal to Noise Ratio

Critical Reviews in Diagnostic Imaging, 2001
R C, Smith, R C, Lange
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Signal-to-Noise Ratio

2017
The signal-to-noise ratio (SNR) can be defined anywhere in the signal chain from the target to the display. The signal is usually the differential signal between a target and its background but the term differential is rarely used. Likewise, the noise is an rms value and the term rms is rarely used.
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