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On detection of cyclostationary signals
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002This paper presents a detector for cyclostationary signals that uses an estimate of spectral autocoherence as a detection statistic. The detector's probability of false alarm is analytically derived and verified with computer simulations. Receiver operating characteristic curves are determined from the simulation data and the analytical expression for ...
Scott Enserink, Douglas Cochran
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The theory of signal detectability
Transactions of the IRE Professional Group on Information Theory, 1954The problem of signal detectability treated in this paper is the following: Suppose an observer is given a voltage varying with time during a prescribed observation interval and is asked to decide whether its source is noise or is signal plus noise. What method should the observer use to make this decision, and what receiver is a realization of that ...
W. Wesley Peterson +2 more
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Signal Detection and Chlorpromazine
Human Factors: The Journal of the Human Factors and Ergonomics Society, 1971Nine normal subjects were tested on an auditory signal detection task under six signal-to-noise conditions while under the influence of different dosages of chlorpromazine, a commonly used major tranquilizer. A significant subject-x-drug-dosage-level interaction was found, some subjects showing impairment of signal detection performance while on ...
M, Rappaport, H K, Hopkins
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Proceedings of the IEEE, 1995
In this paper, we present a new method for the detection of signals in "noise", which is based on the premise that the "noise" is chaotic with at least one positive Lyapunov exponent. The method is naturally rooted in nonlinear dynamical systems and relies on neural networks for its implementation. We first present an introductory review of chaos.
Simon Haykin 0001, Xiao Bo Li
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In this paper, we present a new method for the detection of signals in "noise", which is based on the premise that the "noise" is chaotic with at least one positive Lyapunov exponent. The method is naturally rooted in nonlinear dynamical systems and relies on neural networks for its implementation. We first present an introductory review of chaos.
Simon Haykin 0001, Xiao Bo Li
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The Detection of MAPK Signaling
Current Protocols in Cell Biology, 2005AbstractMitogenâactivated protein kinase (MAPK) cascades are central pathways that participate in the intracellular transmission of extracellular signals. Each of the MAPK signaling cascades seems to consist of three to five tiers of protein kinases that sequentially activate each other by phosphorylation.
Yoav, Shaul, Rony, Seger
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On the detectability of weak signals
IEEE Trans. Inf. Theory, 2020Approximate 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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Science, 1963
An auditory detection experiment was performed with rats as subjects, and the data were analyzed with a signal detection model. Rats were run at fixed sound pressure levels, and their responses were partitioned so that operating characteristics could be constructed. Measures of detectability, (d e ) ½
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An auditory detection experiment was performed with rats as subjects, and the data were analyzed with a signal detection model. Rats were run at fixed sound pressure levels, and their responses were partitioned so that operating characteristics could be constructed. Measures of detectability, (d e ) ½
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Drug Safety, 2007
A primary aim in pharmacovigilance is the timely detection of either new adverse drug reactions (ADRs) or a relevant change of the frequency of ADRs that are already known to be associated with the drugs involved, i.e. signal detection. Adequate signal detection solely based on the human intellect (case-by-case analysis or qualitative signal detection)
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A primary aim in pharmacovigilance is the timely detection of either new adverse drug reactions (ADRs) or a relevant change of the frequency of ADRs that are already known to be associated with the drugs involved, i.e. signal detection. Adequate signal detection solely based on the human intellect (case-by-case analysis or qualitative signal detection)
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Detection of the Number of Signals by Signal Subspace Matching
IEEE Transactions on Signal Processing, 2021We present a novel and computationally simple solution to the problem of detecting the number of signals, which is applicable to both white and colored noise, and to a very small number of samples. The solution is based on a novel and non-asymptotic goodness-of-fit metric, referred to as signal subspace matching (SSM), which is aimed at matching a ...
Mati Wax, Amir Adler
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Quantization for Sequential Signal Detection
IEEE Transactions on Communications, 1977The 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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