Results 1 to 10 of about 84,294 (167)
In this study, a class of linear system, which is with no exogenous input and suffered from constant measurement delay and uncertain model‐parameter errors, is under consideration.
Qiunong He +3 more
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Knowledge‐based multiple hypothesis tracking and identification of manoeuvring reentry targets
This paper addresses the integrated tracking and identification problem of a manoeuvring reentry target that performs intentional lateral manoeuvres to disrupt ground radars.
Chan‐Seok Lee +2 more
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Memory‐ and time‐efficient dense network for single‐image super‐resolution
Dense connections in convolutional neural networks (CNNs), which connect each layer to every other layer, can compensate for mid/high‐frequency information loss and further enhance high‐frequency signals. However, dense CNNs suffer from high memory usage
Nasrin Imanpour +5 more
doaj +1 more source
Improved performance of gas turbine diagnostics using new noise‐removal techniques
Fault detection and identification (FDI) systems are responsible for detecting and identifying errors as fast as possible with high reliability. These systems should be robust against noise and avoid false warnings.
Mohsen Ensafjoo, Mir Saeed Safizadeh
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In recent years, several progressive studies promote the development of aerial tracking. One of the representative studies is our previous work Fast‐Tracker which is applicable to various challenging tracking scenarios.
Neng Pan +5 more
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Representation theory and multilevel filters
We present a general setting where wavelet filters and multiresolution decompositions can be defined, beyond the classical $\mathbf L^2(\mathbb R,dx)$ setting. This is done in a framework of {\em iterated function system} (IFS) measures; these include all cases studied so far, and in particular the Julia set/measure cases.
Daniel Alpay +2 more
openaire +5 more sources
Unimodular (i.e. constant modulus) sequences with good correlation properties are useful in many areas like communication and radar/sonar. However, several algorithms for designing unimodular sequences with the minimisation of correlation sidelobes ...
Yinghao Sun +3 more
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Design and characteristic analysis of hybrid OFD–LFM–PC waveforms in the MIMO radar
In this study, a new set of hybrid orthogonal frequency division–linear frequency modulation–phase coded (OFD–LFM–PC) waveforms are proposed to improve the detection performance of multiple-input-multiple-output (MIMO) radars.
Sheng Hong +4 more
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Theory of Optimal Bayesian Feature Filtering [PDF]
Optimal Bayesian feature filtering (OBF) is a supervised screening method designed for biomarker discovery. In this article, we prove two major theoretical properties of OBF. First, optimal Bayesian feature selection under a general family of Bayesian models reduces to filtering if and only if the underlying Bayesian model assumes all features are ...
Foroughi pour, Ali, Dalton, Lori A.
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Design of a novel stripline diplexer using frequency‐dependent couplings
A novel stripline diplexer design using frequency‐dependent couplings (FDC) to achieve multiple transmission zeros is developed in this paper. The transmission zeros generated by FDCs are flexible and controllable; on the basis of the existing cross ...
Jiaxing Song +5 more
doaj +1 more source

