minimum mean square error estimationstructural health monitoringSensor fault can be detected and corrected in a multichannel measurement system with enough redundancy using solely the measurement data. A single or multiple sensors can be estimated from the remaining sensors if training data from the ...
is the square root of the mean-square error (MSE) between the estimated and true errors, (1) The RMS can also be expressed in terms of bias and deviation variance where and Our interest in this paper is to optimize error estimation rel- ative to RMS, or equivalently MSE, across a fami...
Then,theperformanceofspace-frequencyequalizer(SFE) isderivedandsimulatedbased onminimummeansquareerror(MMSE). 基于最小均方误差准则推导和仿真了空频均衡器的性能。 www.ceps.com.tw 8. LinearMinimumMeanSquareErrorEstimationforWetDelayCorrectioninSARInterferogram ...
1)minimum mean square error均方误差最小 英文短句/例句 1.The method focuses on minimizing the ensemble mean square error of the estimation.该方法可以估计的总体均方误差最小。 2.Kalman Filter Applied Algorithm Based on Mean Square Error Minimum基于均方误差最小的卡尔曼滤波实用算法 3.linear-minimum-me...
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...
The basic idea is to construct a subspace with low ambiguous power and project the original image to the aforementioned subspace to suppress the azimuth ambiguity by the minimum mean square error estimation (MMSE). Compared with most traditional approaches, the proposed one is suitable for any ...
Minimum mean squared error estimation, prediction, and smoothing [1], whether as point estimation, batch least squares, recursive least squares [2], Kalman filtering [3], numerically stable square root filters, recursive least squares lattice structures [4], or stochastic gradient algorithms [3],...
3) Linear Minimum Mean Square Error(LMMSE) estimation 线性最小均方差(LMMSE)估计4) MMSE 最小均方误差估计 1. A modified single channel speech enhancement algorithm is described based on a spectral gain derived from MMSE-LSA and a minimum noise estimation approach. 提出了一种基于最小统计及短...
This LPI optimization framework is concerned with minimizing the total Schleher intercept factor of a radar network under a predefined minimum mean-square error (MMSE) threshold. The MMSE estimation criterion, which gives a measure of the estimate of the target scatterer characteristic, has been ...
4) nonlinear minimal covariance estimation 非线性最小方差估计5) LMMSE 线性最小均方误差估计 1. These serials were predicted by LMMSE and AR models respectively according to their different features. 根据低频序列和高频序列的不同特性,分别采用自回归模型(AR)和线性最小均方误差估计(LMMSE)对未来网络...