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Development of an Imaging Spectrometer with a High Signal-to-Noise Ratio Based on High Energy Transmission Efficiency for Soil Organic Matter Detection. [PDF]
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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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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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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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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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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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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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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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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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