建立了非线性降噪模型，并且应用此模型进行混沌时间序列信号检测。
A new model of nonlinear denoise is proposed and applied in the detection of chaotic time series signals.
基于动力系统模型的局部投影非线性降噪算法，对混沌信号和一大类非平稳信号具有明显的降噪效果。
The algorithm of local projective nonlinear noise reduction based on nonlinear dynamic system is more effective for noise reduction of chaotic signal and non-stationary signals.
该算法改变了原算法中非线性滤波的方式，并结合总变分最小化方法对图像进行降噪处理。
This algorithm changes the form of nonlinear filter, and denoises the image by combining with the method of total variation minimization.
提出了一种基于相重构和主流形识别的非线性时间序列降噪方法。
A noise reduction method in nonlinear time series based on phase reconstruction and manifold learning was proposed.
中值滤波是一种非线性的滤波方法，是一种经典的降噪方法。
The median filter which is a non-liner filter is a classical method of noise reduction.
中值滤波是一种非线性的滤波方法，是一种经典的降噪方法。
The median filter which is a non-liner filter is a classical method of noise reduction.
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