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清华大学 [9]

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山东大学 [4]

北京大学 [2]

北京航空航天大学 [2]

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	Multi-format speech BioHashing based on energy to zero ratio and improved LP-MMSE parameter fusion 期刊论文 Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 10013-10036 作者: Wang, Yong; Huang, Yi-bo; Zhang, Ran; Zhang, Qiu-yu 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/06/03 Authentication Chaotic systems Mean square error Application range Covariance method Detection and localization Linear prediction Minimum mean square errors Real time performance Time-frequency parameter Zero crossing rate
	Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion 期刊论文 IEEE SIGNAL PROCESSING LETTERS, 2019, 卷号: 26, 页码: 347-351 作者: Chen, Badong; Ma, Rongjin; Yu, Siyu; Du, Shaoyi; Qin, Jing 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/11/19 quantized minimum error entropy criterion Granger causality analysis mean square error criterion linear regression model minimum error entropy criterion
	Performance Analysis of Least Square-Based Decision Feedback Equalization Technique for Mobile Satellite Communications 会议论文 International Conference on Signal Processing Proceedings, ICSP, 2018-08-12 作者: Ahmed, W.A.; Wu, F.; Balogun, B.O.; Xu, S.; Zhao, Y. 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 Least squares approximations Mean square error Multipath fading Satellite communication systems Satellites Signal processing Signal receivers Channel equalization Decision feedback Decision-feedback equalizations Equalization techniques Least Square Linear minimum mean square error(LMMSE) Mobile satellite communication Mobile satellite communication systems Decision feedback equalizers
	A novel super-resolution image and video reconstruction approach based on Newton-Thiele's rational kernel in sparse principal component analysis 期刊论文 MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 7, 页码: 9463-9483 作者: He, Lei; Tan, Jieqing; Huo, Xing; Xie, Chengjun 收藏 \| 浏览/下载：15/0 \| 提交时间：2018/05/25 Newton-thiele Super-resolution Linear Minimum Mean Square-error Estimation Sparse Principal Component Analysis
	Distributed estimation for stochastic hybrid systems with event-triggered sensor schedule 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 173-181 作者: Zhang, Cui; Jia, Yingmin 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 stochastic systems closed loop systems Monte Carlo methods least mean squares methods sensors manoeuvring target tracking Monte Carlo simulations linear minimum mean square error sensor measurements closed-loop schedule rule event-triggered state estimator IMM approach interacting multiple model event-triggered sensor schedule stochastic hybrid systems
	A Novel Low Rank LMMSE Channel Estimation Method in OFDM Systems 会议论文 IEEE 17th International Conference on Communication Technology (ICCT), OCT 27-30, 2017 作者: Tang, Ruiguang; Zhou, Xiao; Wang, Chengyou 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/31 channel estimation orthogonal frequency division multiplexing (OFDM) linear minimum mean square error (LMMSE) approximate LMMSE (ALMMSE) low rank LMMSE
	A Novel Low Rank LMMSE Channel Estimation Method in OFDM Systems 会议论文作者: Ruiguang Tang; Xiao Zhou; Chengyou Wang 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/31 channel estimation orthogonal frequency division multiplexing(OFDM) linear minimum mean square error(LMMSE) approximate LMMSE(ALMMSE) low rank LMMSE
	Generalised proportional-integral-derivative filter 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 17, 页码: 2339-2347 作者: Zhang, Junfeng; He, Xiao; Zhou, Donghua 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/16 three-term control filtering theory least mean squares methods generalised proportional-integral-derivative filter linear systems nonlinear systems generalised Kalman filter GPIDF structure minimum mean square error criterion extended strong robust proportional-integral filter
	Nonlinear estimation by linear estimation with augmentation of uncorrelated conversion 会议论文作者: Lan, Jian; Li, X. Rong 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/02 Gaussian assumption Linear minimum mean square error(LMMSE) LMMSE estimations Measurement information Non-linear estimation Nonlinear approach Nonlinear conversions Nonlinear estimator
	Image Despeckling Based on Improved LMMSE Wavelet Shrinkage 会议论文 International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC), Shenyang, PEOPLES R CHINA, 2014-11-15 作者: Cui, Yanqiu; Han, Min 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 synthetic aperture radar (SAR) speckle wavelet transform linear minimum mean square error (LMMSE) kernel regression

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