Rules of the system error along with time is represented and stochastic process models are established: error accumulating model and Wiener model.
利用随机过程的方法来分析系统误差的变化过程，建立了系统误差的随机过程模型——误差累加模型和维纳过程模型。
A modified Wiener filter (WF) model was proposed in which the reference term of WF's transfer function was synthesized using the mean of training images.
提出一种改进的维纳滤波器(WF)模型，用训练图像的均值合成维纳滤波传递函数中的参考函数，使WF具有了旋转不变识别的能力。
The degradation model and the image restoration are introduced by the constrained least square methods including the parametric Wiener filter and the smoothing constrained least squares filter.
介绍了图像退化模型和约束最小二乘方法(包括参变维纳滤波方法和平滑约束最小平方滤波方法)。
Wiener three forecasting methods used to achieve the parameter estimation of AR model.
利用维纳预测方法实现对AR模型的参数估计。
Then we explain basic theory of wiener filter and basic structure model of adaptive filter, and combine the method of steepest descent to deduce the LMS.
然后系统阐述了基本维纳滤波原理和自适应滤波器的基本结构模型，接着在此基础上结合最陡下降法引出LMS算法。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
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