Results 251 to 260 of about 3,120,826 (295)

On the stability of signal detection

IEEE Transactions on Information Theory, 1983
The probabilities of false alarm and false dismissal for sure signals embedded in additive noise when the noise is contaminated Gaussian are studied.
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Principles of Signal Detection in Pharmacovigilance

Drug Safety, 1997
Adverse drug effects are manifold and heterogenous. Many situations may hamper the signalling (i.e. the detection of early warning signs) of adverse effects and new signals often differ from previous experiences. Signals have qualitative and quantitative aspects. Different categories of adverse effects need different methods for detection.
Meyboom, R.H.B., Egberts, A.C.G., Edwards, I.R., Hekster, Y.A., Koning, F.H.P. de, Gribnau, F.W.J.   +5 more
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Signal Detection Theory

2001
Classical and modern signal detection theories theoretical principles of the generalized approach to signal detection theory generalized approach to detection of signals with stochastic parameters study of the generalized approach to signal detection theory in communications detction performances experimental study of generalized detectors type of ...
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Monitoring Readily Detected Auditory Signals and Detection of Obscure Visual Signals

Perceptual and Motor Skills, 1963
Twenty-four Ss were required to detect infrequently and randomly occurring visual and auditory signals under six different schedules. In four of the sessions there were 40 visual signals and, respectively, 0, 20, 40, or 80 auditory signals. In two sessions there were 20 visual signals and 20 or 60 auditory signals.
J R, BINFORD, M, LOEB
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Detection of rotating gravity signals

Biological Cybernetics, 1992
It is shown in the preceding paper that neurons with two-dimensional spatio-temporal properties to linear acceleration behave like one-dimensional rate sensors: they encode the component of angular velocity (associated with a rotating linear acceleration vector) that is normal to their response plane.
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On Cyclostationarity-Based Signal Detection

2018 26th European Signal Processing Conference (EUSIPCO), 2018
A new cyclostationarity-based signal detector is proposed. It is based on (conjugate) cyclic autocorrelation measurements at pairs of cycle frequencies and lags for which the signal-of-interest exhibits cyclostationarity while the disturbance does not. No assumption is made on the noise distribution and/or its stationarity.
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Signal activity detection of phase-shift keying signals

IEEE Transactions on Communications, 2006
We propose computationally inexpensive and efficient solutions for signal activity detection of phase-shift keying (PSK) signals in additive white Gaussian noise. We consider the complex amplitude of the signal as well as the information sequence as the unknown parameters. In addition, the noise variance is assumed unknown.
A. A. Tadaion, Mostafa Derakhtian, Saeed Gazor, Mohammad Mahdi Nayebi, Mohammad Reza Aref   +4 more
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Optimum Quantization for Signal Detection

IEEE Transactions on Communications, 1977
Optimum quantization of data, primarily for signal detection applications, is considered. It is shown that two useful detection criteria lead to quantization which gives the minimum mean-squared error between the quantized output and the locally optimum nonlinear transform for each data sample.
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Robust detection of signal classes

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper proposes a robust detection statistic for signals whose parameters are uncertain. Standard detection schemes generally use time domain correlation which can be related to correlation based on the Wigner-Ville distribution by Moyal's identity. This paper shows that a more robust detection statistic is achieved by using generalised patterns in
Owen Patrick Kenny, Langford B. White
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Detection of temporally uncertain signals

The Journal of the Acoustical Society of America, 1980
The effects of signal uncertainty on detection performance were measured using a new procedure that allows precise specification of the initial temporal uncertainty. Five different models of the detection process, two assuming a continuous representation of the sensory input and three assuming a discrete representation, were compared with the obtained ...
D M, Green, D L, Weber
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