网络线性最小均方误差 网络释义 1. 线性最小均方误差 线性最小均方误差(linear minimum mean square error) 法则提供了一个有效的解决方案却需耗费相当高的复杂度。在这篇论文 … nthur.lib.nthu.edu.tw|基于3个网页
Simulations show that the new method is better than linear minimum mean square error(LMMSE) and least square(LS) and the operation of the new method is the most simple. 仿真表明,在多径信道下新的估计方法性能优于最小二乘估计和线性最小均方误差估计,并且计算量最小。
The invention discloses a linear minimum mean square error (LMMSE) detection method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM). The method comprises the following steps of: presetting a detection systolic array by adopting an estimated noise level value ...
linear-minimum-mean-square-error-estimation 例句 释义: 全部 更多例句筛选 1. Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram 线性最小方差估计用于SAR干涉图大气延迟改正 www.ilib.cn© 2025 Microsoft 隐私声明和 Cookie 法律声明 广告 帮助 反馈...
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This note presents the problem of designing the linear-minimum-mean-square-error observer for a class of multi-rate sensor fusion systems with missing measurements. Under the casuality constraint because of the multi-rate nature, the covariances of the equivalent noises in the estimation error syste...
Stationary filter for linear minimum mean square error estimator of discrete-time Markovian jump systems We derive in this paper a stationary filter for the linear minimum mean square error estimator (LMMSE) of discrete-time Markovian jump linear systems (MJLS... OLV Costa,S Guerra - 《IEEE Tran...
We present an efficient linear minimum mean square error (LMMSE) method for reconstructing full color images from single sensor color filter array (CFA) da... J Portilla,D Otaduy,C Dorronsoro - IEEE International Conference on Image Processing 被引量: 38发表: 2005年 Simulation of a semiconducto...
International Journal of ControlA MEDITCH, J. S.: 'Minimum mean square error stochastic linear control', Internat. J. Contr., 1968, 8, pp. 441-456Meditch, J. S., "Minimum mean square error stochastic linear control," Int. J. Cont .. B, 441 (1968)....
This paper investigates optimum and sub-optimum linear Minimum Mean Square Error (MMSE) Multi-User Detection (MUD) techniques for multi-carrier code division multiple access transmission systems. In a first step, we present two formulations of MMSE MUD techniques that are optimum for any number of...