Results 151 to 160 of about 11,014,670 (216)

On the detectability of weak signals

IEEE Trans. Inf. Theory, 1985
Approximate performance results are obtained for optimal detection of weak discrete time signals. The analysis parallels the ''locally optimum'' approach for detector design and is based on a small-signal Taylor series approximation to the Chernoff error probability bounds.
John S. Sadowsky, James A. Bucklew
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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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Quantization for Sequential Signal Detection

IEEE Transactions on Communications, 1977
The quantization of the observed data for sequential signal detection is studied. The criteria used are the minimizations of the average sample number under the hypothesis, the average sample number under the alternative, and the maximum average sample number.
Sawasd Tantaratana, John B. Thomas
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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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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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An Introduction to Signal Detection and Estimation

Springer Texts in Electrical Engineering, 1994
H. Vincent Poor
semanticscholar   +1 more source

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 Estimation and Signal Detection

1998
The previous chapter has introduced and discussed TF projection filters that pass signals located in a given TF region and suppress signals located outside this TF region. So far, these filters have been studied mainly in a deterministic setting. In this chapter, we shall consider a stochastic setting and discuss applications of TF projection filters ...
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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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