nonstationary noises meaning in Chinese

非稳态噪声

In chapter 3 , we discuss the problem of doa estimation in the presence of spatially nonstationary noise fields . an estimate of the colored noise covariance matrix is firstly given . the received data for parameter estimation is then prewhitened using the estimated noise covariance , hence , overcoming the highly biased estimates . finally , adaptive beamforming with the modified weight is also performed . computer simulations show that the proposed method can completely remedy beam distortion . 3
在第三章讨论了一种在环境噪声为白噪声而阵元噪声为空间非平稳情况下的doa估计问题，给出了一种有效的估计阵元噪声功率的方法，进而利用估计的噪声协方差矩阵进行预处理而实现色噪声环境下的doa估计，理论分析和仿真结果均表明了本章提出的方法的有效性。
In addition , we proposed the posterior union model ( pum ) , which improves over the conditional union model by retaining the advantage of requiring no identity of the noisy components , and by additionally offering a means of optimally estimating the model order , therefore enhancing the capability of the model for dealing with nonstationary noise
最终本文提出了语音增强结合pum模型的一种新的语音抗噪方法,并且基于这种新方法我们从高识别率和低成本较高识别率两方面出发,构建了改进型ctranc结合pum新模型和改进型重复wiener滤波结合pum新模型。