Computer simulation experiment, as well as theoretical research show that the amplitude mean square error of the iterative output derived from IAFC is 0.69%, and the amplitude un-uniformity is 1.01%.
理论计算和计算机模拟实验结果显示，模糊控制迭代算法的迭代结果其振幅均方误差为0.69%，振幅不均匀度为1.01%。
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 modification incorporates explicitly the duration of strong earthquake ground motion into the time dependent variation of the root-mean-square peak amplitude.
这个修正明显地将强震运动的持续时间包含在均方根振幅依赖于时间的变异中。
We introduce an optimally-modified log spectral amplitude estimator, which minimizes the mean-square error of the log spectra for speech signals under signal presence uncertainty.
引入了最佳修正短时对数谱估计，能在信号存在的不确定性下最小化语音信号对数谱的均方误差。
Stabilization is achieved by adopting an amplitude stabilizer. The root mean square (RMS) of energy output is lowered from about 4% to below 1%.
采用稳幅器件有效地提高了输出能量的稳定性，放大前级的输出能量波动的均方根值从4%左右降到1%以下。
Stabilization is achieved by adopting an amplitude stabilizer. The root mean square (RMS) of energy output is lowered from about 4% to below 1%.
采用稳幅器件有效地提高了输出能量的稳定性，放大前级的输出能量波动的均方根值从4%左右降到1%以下。
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