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最小均方误差的英文

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"最小均方误差"怎么读用"最小均方误差"造句

英文翻译手机手机版

  • minimum mean-squared error
  • mmse minimum mean square error

例句与用法

  • Simulation results show the good performances of this method
    仿真结果表明了该算法具有优良的最小均方误差性能。
  • The least mean square error tde method can be divided into two kinds in theory . one is the traditional method and the other is the constrained method
    从算法的原理来分,最小均方误差时延估计法可以分为传统类方法和较新的约束类方法两大类。
  • Firstly the fringe is subdivided properly , then we get the estimated phase in subdivided regions based on the wavelet method and minimum mean errors estimates method
    首先对干涉图象进行适当的分块,然后通过线性相位模型对每个子块的相位进行拟合;拟合系数通过干涉图象分块的小波变换与最小均方误差估计方法获得。
  • 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
    当采用信道矩阵扩展技术或重叠相加技术,并采用最小均方误差均衡时,该系统有着良好的抗多径性能和较低的计算复杂度。
  • Hence , this paper focuses on fast channel estimation algorithms for ofdm - cdma receivers . we use comb pilots to estimate the channel response , and propose a low - complexity discrete fourier transform based mmse channel estimator
    采用梳状导频进行信道估计,提出了一种低复杂度、基于离散傅立叶变换的最小均方误差的信估计算法。
  • On single path condition , the multi - user detection algorithm is derived on the basis of the minimal square rule and the ml rule . a space - time multi - user detection structure and an adaptive method on cdma system are proposed
    在单径情况下,基于最小均方误差原则和最大似然原则,提出了一种多用户检测算法和一种空时二维多用户检测器的结构。
  • First , after deeply investigating help model , a harmonic related voicing detection algorithm based on mse criterion is developed , with the knowledge that voicing algorithm can be showed by degree of harmonic relation
    首先,本文通过对help算法的深入分析,根据语音信号谐波相关程度能反映浊音度强弱的性质,开发了一种基于最小均方误差准则的谐波相关浊音度参数提取方法。
  • 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
    本文重点阐述了分布mimo的迫零检测算法、最大似然检测算法和最小均方误差检测算法,并通过仿真比较了这三种分布mimo检测算法的性能。
  • Depending on the specific application , the enhancement system may be directed at different objectives . what is contained in the thesis is as following : ( 1 ) . a variety of methods based on short - time spectrum estimation for speech enhancement are discussed
    系统地研究了基于语音短时谱估计的各种增强方法,包括幅度谱相减法、功率谱相减法、维纳滤波法、最小均方误差法、两态软判决等。
  • In chapter 2 , many kinds of adaptive filter algorithms are discussed . this section analyzes the least mean squares ( lms ) , normalized lms ( nlms ) and recursive least squares ( rls ) algorithms , and evaluates their performance as acoustic echo canceller
    分析了最小均方误差( lms )算法、归一化的最小均方误差( nlms )算法和递归的最小二乘( rls )算法,并且结合声回波抵消算法评估了它们的性能。
  • 更多例句:  1  2  3  4
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