minimum mean square error中文是什么意思

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中文翻譯
造句

最小均方差估計(jì)
最小均方誤差

minimum n. (pl. minimums, -ma ) 最小，最 ...
mean adj. 中間的；中庸的；平均的；中等的；中項(xiàng)的。 th ...
square n. 1.正方形，四方塊，四角；方形物。 2.(方形)廣 ...
error n. 1.錯(cuò)誤；失錯(cuò)。 2.謬見，誤想；誤信；誤解。 3 ...
minimum mean-square error 最小均方差估計(jì)
minimum mean square error criterion 最小均方誤差準(zhǔn)則
minimum mean square error estimate 最小均方誤差估計(jì)
minimum mean square error estimator 最小均方誤差估計(jì)式
minimum mean square error forecast 最小均方誤差預(yù)測
minimum mean square error restoration 最小均方誤差復(fù)原
mmse minimum mean square error 最小均方誤差
minimum mean-squared error 最小均方誤差
effective error mean square 有效誤差平方和
error mean square 誤差方差; 誤差均方
error of mean square 均方誤差; 平均誤差; 中誤差
error root-mean-square 均方誤差
mean root square error 均方根誤差
mean square error 均方差; 均方誤差，中誤差
mean square error criterion 均方誤差準(zhǔn)則
mean square error efficiency 均方誤差效率
mean square error mse 平均平方誤差
mean square error norm 均方誤差范數(shù)
mean square error of a point 點(diǎn)位中誤差
mean square error of azimuth 方位角中誤差
mean square error of coordinate 坐標(biāo)中誤差

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例句與用法

Minimum mean squared error
最小均方差
This system characterized with good anti - multipath performance and low complexities when the channel matrix extending technique or overlap - adding technique and minimum mean square error equalization are employed
當(dāng)采用信道矩陣擴(kuò)展技術(shù)或重疊相加技術(shù)，并采用最小均方誤差均衡時(shí)，該系統(tǒng)有著良好的抗多徑性能和較低的計(jì)算復(fù)雜度。
In this paper , we emphasis on the distributed mimo zero forcing detection , maximum likelihood detection and minimum mean square error detection . the simulation results are presented to compare the proposed distributed mimo detection algorithms
本文重點(diǎn)闡述了分布mimo的迫零檢測算法、最大似然檢測算法和最小均方誤差檢測算法,并通過仿真比較了這三種分布mimo檢測算法的性能。
The variance of the optimum estimate is not only smaller than that of sensor with the minimum variance in this multi - sensor system but also smaller than that of estimating result with minimum mean square error ( mmse ) algorithm
由該算法得到的傳感器測量結(jié)果值最優(yōu)估計(jì)的方差不僅低于傳感器組中每一個(gè)傳感器測量結(jié)果的方差，而且低于由基于最小均方誤差( mmse )多傳感器數(shù)據(jù)融合算法得到的估計(jì)結(jié)果的方差。
4 . we propose that the best detection method for the uplink mc - cdma system is decorrelating - parallel interference cancellation ( dec - pic ) multiuser detection , and the best detection method for the downlink mc - cdma system is minimum mean square error combining ( mmsec ) single user detection
提出上行信道m(xù)c - cdma的最佳檢測方法是解相關(guān)-并行干擾抵消多用戶檢測法( dec - pic ) ，在下行信道m(xù)c - cdma的最佳檢測方法是最小均方誤差合并單用戶檢測法( mmsec ) 。
Then we focus on decision feedback equalization ( dfe ) algorithm which is widely used in mimo signal detection . subsequently , a minimum mean squared error ( mmse ) detector based on wl detection combined with the decision feedback strategy for ca - mimo is derived . meanwhile , the issue that how to use wl detection in da - mimo system is discussed and a solved project is also presented
本文第四章在介紹了寬線性檢測技術(shù)的基礎(chǔ)知識(shí)之后,著重針對(duì)mimo信號(hào)檢測算法中使用廣泛的反饋判決檢測算法,提出了一種基于最小均方誤差準(zhǔn)則的寬線性反饋判決集中式mimo信號(hào)檢測算法;同時(shí),結(jié)合第三章的內(nèi)容,對(duì)分布mimo信號(hào)如何采用寬線性檢測提出了一套解決方案,通過計(jì)算機(jī)仿真,給出了幾種分布mimo檢測算法的性能;結(jié)果表明,在采用最優(yōu)檢測順序的情況下,兩
Secondly , introduce discrete multi - tone modulation principle in detail , have a systemic and comprehensive analysis and explanation on minimum mean square error ( mmse ) channel shorten time domain equalizer design methods which are based on all kinds of cost functions , analyze their advantage and disadvantage . research on time domain equalizer structure , compare all the time domain equalization algorithm with simulation which afford a valuable reference for the choice of equalization algorithm and equalizer structure when design time domain equalizer
詳細(xì)介紹離散多音頻調(diào)制原理，對(duì)mmse信道縮短法和基于其他代價(jià)函數(shù)的時(shí)域均衡器設(shè)計(jì)方法的進(jìn)行了系統(tǒng)全面的分析和闡述，分析了各自的優(yōu)缺點(diǎn)；對(duì)時(shí)域均衡器結(jié)構(gòu)進(jìn)行研究；仿真比較了各種時(shí)域均衡方法，為進(jìn)行時(shí)域均衡器設(shè)計(jì)時(shí)均衡算法、均衡器結(jié)構(gòu)的選擇提供了有價(jià)值的參考。
After the system has been synchronized , we first use the least square method to make channel estimation , then separate the channel response information from the channel noises by dft . a weighting function based on the minimum mean square error ( mmse ) criteria can be applied to the time domain channel impulse response
在系統(tǒng)同步條件下，首先使用最小平方方法來估計(jì)信道響應(yīng)，然后利用離散傅利葉變換的性質(zhì)把信道響應(yīng)信息和信道噪聲分離，并在時(shí)域按最小均方誤差準(zhǔn)則做加權(quán)處理。
The latter primarily improves the transmission distance and reliability by selecting the repeater automatically . the frequency domain auto - adaptatation filter algorithm is deduced and reliabity by selecting the repeater automatically . the frequency domain auto - adaptaion filter algorithm is deduced and a method of frequency domain algorithm to restrain the marrow band interference is given on the foundation of the time domain minimum mean square error auto - adaptation filter . then the meter reading system to can learn the power network structure and automatically create linked path by using neural networks auto - study ability and analyzing the reading data
后者主要是對(duì)中繼節(jié)點(diǎn)的自動(dòng)選擇，以提高信息的傳輸距離與可靠性。針對(duì)電力線擴(kuò)頻通信信道的特點(diǎn)，在時(shí)域最小均方誤差自適應(yīng)濾波算法的基礎(chǔ)上，推導(dǎo)了頻域自適應(yīng)濾波算法，并提出了頻域算法抑制窄帶干擾的具體方法。運(yùn)用神經(jīng)網(wǎng)絡(luò)的自學(xué)習(xí)方法，通過對(duì)抄讀數(shù)據(jù)進(jìn)行分析，使抄表系統(tǒng)感知電網(wǎng)拓?fù)浣Y(jié)構(gòu)，自動(dòng)建立中繼路徑。
The present paper gives some profound results of linear biased estimation of regression coefficients which include linear biased estimation for the minimum mean square error , the necessary and sufficient conditions for the linear biased estimation superior to least square estimation , the necessary and suffic ) ent conditions for the admissibility of linear biased estimation and some linear biased estimators not included in the literatures
摘要給出回歸系數(shù)的最小均方誤差線性有偏估計(jì)、線性有偏估計(jì)優(yōu)于最小二乘估計(jì)的充要條件及線性有偏估計(jì)為可容許估計(jì)的充要條件，同時(shí)給出文獻(xiàn)中未涉及的一些有偏估計(jì)。

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百科解釋

In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality.

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