It is important to remove artifacts from EEG recording for further study.

伪迹消除在脑电信号的分析及研究中起着非常重要的作用。

However,AFM images are usually affected by a variety of artifacts due to either the microscope design and operation mode or external environmental factors.

但由于系统设计上的局限、操作模式的特点、外部环境的影响等因素,所得到的AFM图像与样品表面的真实特征往往会存在不同程度的偏离,呈现出各种不同类型和不同程度的假像。

The current WB-DWI technology is not perfect, the image still exists a certain degree of deformation and artifacts.

目前的WB-DWI技术还不完善,3D-MIP图像还存在一定的变形和伪影。

Based on the brief introductions of ICA theory and algorithm, we apply ICA to the removal of ocular artifacts from EEG recordings.

在简要分析 ICA理论及其算法的基础上 ,提出将其应用到脑电中的眼电伪迹的去除任务。

Based on ICA algorithm with reference signals, a method removing blinking artifacts is proposed in this thesis.

本文提出了一种新的基于带参考信号的ICA算法的脑电信号眨眼伪差的分离方法,可以得到纯净的脑电信号。

However,AFM images are usually affected by a variety of artifacts due to either the microscope design and operation mode or external environmental factors.

但由于系统设计上的局限、操作模式的特点、外部环境的影响等因素,所得到的AFM图像与样品表面的真实特征往往会存在不同程度的偏离,呈现出各种不同类型和不同程度的假像。

The second part is topic. From the four themes about painting, sculpture, architecture and artifacts ,this article tried to analyse the personality in the fine arts.

第二部分是分论,主要从绘画、雕塑、建筑、器物这四个专题的角度研究造型艺术空间的个性。