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Evaluation of dimension of fractal time series with the least square method 被引量:2
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作者 BingQiang Qiao SiMing Liu +2 位作者 HouDun Zeng Xiang Li BenZhong Dai 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2017年第4期62-64,共3页
Properties of fractional Brownian motions(f Bms)have been investigated by researchers in different fields,e.g.statistics,hydrology,biology,finance,and public transportation,which has helped us better understand many c... Properties of fractional Brownian motions(f Bms)have been investigated by researchers in different fields,e.g.statistics,hydrology,biology,finance,and public transportation,which has helped us better understand many complex time series observed in nature[1-4].The Hurst exponent H(0<H<1)is the most important parameter characterizing any given time series F(t),where t represents the time steps,and the 展开更多
关键词 TIME Evaluation of dimension of fractal time series with the least square method FIGURE
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REAL-TIME FLOOD FORECASTING METHOD WITH 1-D UNSTEADY FLOW MODEL 被引量:15
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作者 MU Jin-bin ZHANG Xiao-feng 《Journal of Hydrodynamics》 SCIE EI CSCD 2007年第2期150-154,共5页
A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising i... A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising it dynamically through introducing a variable weighted forgetting factor, such that the output of the model could be adjusted for the real time forecasting of floods. The application of the new real time forecasting model in the reach from Yichang to Luoshan of the Yangtze River was demonstrated. Computational result shows that the forecasting accuracy of the new model is much higher than that of the original 1-D unsteady flow model. The method developed is effective for flood forecasting, and can be used for practical operation in the flood forecasting. 展开更多
关键词 unsteady flow hydraulic model least squares time variant forgetting factor real-time forecasting
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Moving scanning emitter tracking by a single observer using time of interception:Observability analysis and algorithm
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作者 Yifei ZHANG Min ZHANG Fucheng GUO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2017年第3期1174-1183,共10页
The target motion analysis(TMA) for a moving scanning emitter with known fixed scan rate by a single observer using the time of interception(TOI) measurements only is investigated in this paper.By transforming the... The target motion analysis(TMA) for a moving scanning emitter with known fixed scan rate by a single observer using the time of interception(TOI) measurements only is investigated in this paper.By transforming the TOI of multiple scan cycles into the direction difference of arrival(DDOA) model,the observability analysis for the TMA problem is performed.Some necessary conditions for uniquely identifying the scanning emitter trajectory are obtained.This paper also proposes a weighted instrumental variable(WIV) estimator for the scanning emitter TMA,which does not require any initial solution guess and is closed-form and computationally attractive.More importantly,simulations show that the proposed algorithm can provide estimation mean square error close to the Cramer-Rao lower bound(CRLB) at moderate noise levels with significantly lower estimation bias than the conventional pseudo-linear least square(PLS) estimator. 展开更多
关键词 Cramer-Rao lower bound Least squares Observability Scanning emitter Target motion analysis Time of interception
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