单载波扩频系统中常用的的线性多用户检测手段,如最小均方估计(Minimum Mean Square Estimation,MMSE)、最小二乘估计(LeastSquare,LS),以及分集合并技术,在MC-CDMA上行链路不再有效,...
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单载波扩频系统中常用的的线性多用户检测手段,如最小均方估计(Minimum Mean Square Estimation,MMSE)、最小二乘估计(LeastSquare,LS),以及分集合并技术,在MC-CDMA上行链路不再有效,...
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linear minimum mean square estimation 线性最小均方估计
minimum mean square-error estimation 最小均方误差估计
minimum mean square error estimation 最小均方误差估计量
minimum mean-square error estimation 最小均方误差估计
linear minimum mean-square error estimation 线性最小均方误差估计
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error (MMSE) estimation of speech short time spectrum.
本文主要讨论基于语音短时谱估计的语音增强算法。
Comparing with the Linear Minimum Mean Square Error (LMMSE) channel estimation method, the method is simple and need not know the channel correlation and signal-to-noise (SNR).
与已有线性最小均方差(LMMSE)信道估计方法相比，该算法简单并且不需要预先知道信道相关矩阵以及信噪比等信道信息。
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