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Learning with the kernel signal to noise ratio
2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012This 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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Interference and Signal-to-Noise-Ratio
2007In 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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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.
J P, Villoz, F A, Steiner
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Mixed‐bandwidth acquisitions: Signal‐to‐noise ratio and signal‐to‐noise efficiency
Journal of Magnetic Resonance Imaging, 2010AbstractPurposeTo evaluate signal‐to‐noise ratio (SNR) and SNR efficiency in mixed‐bandwidth acquisition (MBA). SNR efficiency describes the achievable SNR per unit time and is a basic aspect in clinical applications to optimize work flow.Materials and MethodsCorresponding simulations were performed and predictions of the theory verified in phantom ...
Morwan, Choli +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.
Veljko Papic +3 more
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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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Signal to noise ratio of information in documentation
Proceedings of the 22nd annual international conference on Design of communication: The engineering of quality documentation, 2004The signal to noise ratio is a common concept in radio communications and electronic communication in general. For a radio, the static is the noise. Too much static and the storm report gets drowned out, or at least you must listen closely to understand the announcer.
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Signal-to-noise ratios in smooth limiters
IEEE Transactions on Information Theory, 1959Signal-to-noise ratios associated with smooth band-pass limiting and subsequent narrow-band filtering of a periodic signal and random noise are computed. Observed changes in signal-to-noise ratios may be used to estimate detectability losses. The error function is used to represent the limiter characteristic at various degrees of limiting.
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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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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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Signal-to-noise ratio in Fourier spectroscopy
Applied Optics, 1977Calculations of the SNR obtainable with a Fourier transform spectrometer as well as that obtainable with a photometer or scanning device are presented. It is shown that the SNR obtained with a Fourier spectrometer is (N/8)(1/2) greater than that obtained with a scanning device (where N is the desired number of spectral elements scanned).
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