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In this paper, under Bayesian estimation framework, a new Gaussian approximate (GA) filter with progressive measurement update is derived through approximating intermediate progressive joint probability density function (PDF) of state and measurement as Gaussian, and it provides a general framework to design progressive Gaussian filtering. In the proposed method, the continuous PDF needn't to be discretized,...
In this paper, we present an effective approach to link the broken characters in online handwritten chemical formulas. By observing a large number of formula samples, we classify the common broken problems in online handwritten chemical formulas into three types, ldquopoint-likerdquo broken type, liner-type and arc-type. The proposed method combines the strokes characteristic of handwritten chemical...
Prediction model for post-fire mortality based on fire resistance of Pinus yunnanensis and the information at damage trees after forest fire could provide theory basis for estimating damage of forest fire and designing schemes of vegetation restoration in burned area in short time after forest fire. Post-fire mortality and crown-fire characteristics of Pinus yunnanensis trees was investigated in the...
Thin film bulk acoustic resonator, grown based on the MEMS fabrication technology simultaneously, has become one of the most positive devices within the area of wireless communication application. FBAR has such distinct advantages as higher frequency, smaller volume, better power handling capabilities, higher Q-values and well compatibility with IC techniques. The paper briefly introduces the operational...
A structure of low loss surface acoustic wave filter with Single-Phase Unidirectional Transducers (SPUDTS) is described in this paper. In this structure, two single-phase unidirectional transducers are placed at both sides of one apodized transducer. The loss has caused by bidirectional acoustic wave can be canceled by unidirectional characteristic of SPUDTS. Moreover the frequency response of the...
Segmentation of underwater objects using sonar imagery is complicated by the variability of objects, noises, and background. Through analyzing the features of sonar imagery, we propose a new algorithm which can carry on automatic segmentation on sonar imagery. After noise reduction and image normalization, we adopt the self-adaptive variance algorithm and the fractal dimension algorithm to segment...
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