基于一定的解码状态，声码器通过最小均方误差（MMSE）估计的方法估计最优参数，充分降低信道误码对重建语音质量的影响。
The minimum mean square error (MMSE) is computed for each decoding state to estimate optimal parameters and to reduce the influence of the bit error.
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 proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文将分形理论引入多径衰落信道的描述，提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。
The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.
本文提出了将RAS-MFCC特征和最小均方误差估计（MMSE）语音增强方法相结合的抗噪声语音识别方法。
At last, we propose a new speech recognition method which combines RAS-MFCCs and MMSE speech enhancement technology.
通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。
By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
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