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In radar HRRP target recognition, the quality and quantity of Discriminant Information (DI), which one is more important? Accompanied with this issue, the paper proceeds to delve into DI analysis, and accordingly, three fundamental DI extraction models are proposed, i.e., PGA, PIB and AIB. Among these models, PIB and AIB both aim to obtain Between-class DI(More)
In this paper, an extension of kernel Fisher discriminant (KFD), namely, distributed KFD (DKFD), is proposed for multi-class cases. Unlike the generalized discriminant analysis (GDA) which deals with all classes synchronously, DKFD uses a cost—normalized KFD for two-class problems and thereby covers the whole system by the KFD units. Based on DKFD,(More)
In an Automatic Target Recognition (ATR) system, target recognition-makers need assistance to determine which class a new High Resolution Range Profile (HRRP) belongs to. Note that the HRRP data can be obtained from an Open Database (ODB) freely, we present a new Multi-Agent System (MAS) model in which specialized intelligent agents, namely Individual(More)
Radar target identification using high resolution range profile (HRRP), the target length is an important feature due to that it can reduce the time of identification and mitigate noise redundancy. Traditional threshold methods with the different operators are highly sensitive to noise. In this paper, we proposed an adaptive difference operator for target(More)
In this paper, we consider the problem of parameters estimation of coherently distributed (CD) sources using doublet parallel uniform linear array (ULA) in the presence of mutual coupling. Unlike the mutual coupling matrix of ULA, the mutual coupling matrix of doublet parallel uniform linear array (ULA) is only symmetric but not Toeplitz. Aiming at this(More)
A method was developed for the simultaneous determination of three estrogens (17β-estradiol, estradiol benzoate, estradiol valerate) in feed by solid phase extraction-ultra performance liquid chromatography-tandem mass spectrometry (SPE-UPLC-MS/MS). After the sample was extracted by acetonitrile and cleaned-up on a Heaion C18 solid phase extraction (SPE)(More)
Automatic recognition of emotion is becoming an important part in the design of process for affect-sensitive human-machine interaction (HMI) systems. This work proposes variance-based Gaussian kernel fuzzy vector quantization (VGKFVQ) method for speech emotion recognition. By non-linear kernel mapping, it mapped the data into the high-dimensional feature(More)
The prevalent applications of traditional statistical discriminant methods for radar High Range Resolution Profile (HRRP) target recognition are designed to obtain Common Discriminant Information (C-DI) among all classes at the expense of Individual Discriminant Information (I-DI) between them, so they may lose slight I-DI between close-set classes and(More)
An improved direction finding method is proposed based on unimodal characteristic of antenna pattern and sparse property of received data. Unlike the conventional methods based peak-searching and symmetric constraint, the sparse reconstruction algorithm requires less pulse and takes advantage of compressive sampling. Simulation results validate performance(More)
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