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	A service credit evaluation method on service agents 期刊论文 iSwitch采集 Information-an international interdisciplinary journal, 2010, 卷号: 13, 期号: 3, 页码: 561-567 作者: Ren Jiafu; Xiao Min; Zhou Zongfang; Shi Yong 收藏 \| 浏览/下载：31/0 \| 提交时间：2019/05/10 Service credit Service agents(sa) Estimate errors Multi-indicators Detached coefficients matrix
	Estimation algorithm of mobile OFDM CFOs based on step-size (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China Lin L.; Qiao Y.-F.; Su W.-X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In order to maintain orthogonality among subcarriers for mobile OFDM a CFOs step-size estimation model is established to avoid severe performance degradation caused by ICI and algorithmic stability step-size parameter the error of CFOs estimate and etc are investigated. First after an averaging window algorithm is introduced the mathematic model of step-size estimation algorithm is obtained through step-size parameter and time-varying CFOs. Then based on the results of MATLAB simulation the determination of step-size parameter the advantages of step-size algorithm and precision are discussed. Finally time sequence plots of added CP interleaver and subcarrier modulation with VHDL are presented. Experimental results indicate that the maximum of CFOs errors is 0.00987 in 3 variance interval when mobile velocity is 400 km/h according with verdicted principle that in order for the ICI effects to be negligible the error of CFOs estimation must be accurate within 1-2% of the subcarrier spacing and programs can correctly implement on circuit board. 2009 IEEE.
	System identification of tracking error and evaluation of tracking performance using BP neural network (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Zhang N.; Shen X.-H. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 A novel approach for evaluating the tracking performance of optoelectronic theodolite is proposed. First an equivalent mathematic model of tracking error is established. Then the equivalent sine signal is inputted to the equivalent model and the outputs are sampled. The results of evaluating the tracking performance are obtained based on the statistical calculation of output produced by equivalent model. Equivalent model using the BP (Backprogration) neural network structure is identified. The training method of BP neural network adopts the LM (Levenberg-Marquardt) algorithm for the sake of speeding up training process. The BP neural network is trained and tested by using the training and testing samples gotten from the simulation model of optoelectronic theodolite tracking system under MATLAB/SIMULINK. The estimate errors of equivalent model including average error maximum error and standard error are 2.5872e-0060 2.8 and 1.9. The results show that the equivalent model identified based on BP neural network meets the needs of evaluating the tracking performance of optoelectronic theodolite. The accurate evaluation of tracking performance is achieved. 2009 SPIE.
	Identification of errors-in-variables systems with ARMA observation noises 期刊论文 OAI收割 SYSTEMS & CONTROL LETTERS, 2008, 卷号: 57, 期号: 5, 页码: 420-424 作者: Song, Qi-jiang; Chen, Han-Fu \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/07/30 errors-in-variables identification recursive estimate strong consistency stochastic approximation ARMA
	The asymptotic variance-covariance matrix, Baarda test and the reliability of L-1-norm estimates 期刊论文 OAI收割 JOURNAL OF GEODESY, 2005, 卷号: 78, 期号: 11-12, 页码: 668-682 作者: Junhuan, P 收藏 \| 浏览/下载：33/0 \| 提交时间：2015/08/14 L-1-norm estimate modified L-1-norm estimate Bahadur-type linear representation asymptotic variance covariance matrix Baarda test statistic reliability outliers/gross errors leverage points robust estimation