frequency domain filter meaning in Chinese
频率域滤波器
Examples
- As analyzing the optical spatial filter and frequency domain filter with wavelet transform , the space variable processing > matched filtering and imagery system are the examples . all of these confirm the feasibility of wavelet transform applied in optical information processing
用小波变换处理光学信息，主要的是应用小波的多分辨特性，小波变换的定义是一相关运算，很容易在光学系统中实现，这是光学小波变换的理论依据。 - Therefore , based on the ann correlation signal post - processing technique , we designed a kind of sdf performed in spatial domain , and a two - step recognition technique was introduced to perform real - time distortion - invariant recognition by combining frequency domain filtering of sdf with spatial domain filtering of sdf
为此，本文在ann相关信号后处理技术的基础上引入了二次识别技术，设计制作了一种空域执行的sdf滤波器，采用频域sdf滤波与空域sdf滤波相结合的方法，对目标进行实时畸变不变识别。 - ( 3 ) various digital image - processing techniques for suppression of undesired components and enhancement of quality in numerical reconstruction images are considered , such as hologram contrast - enhancement , hro subtraction , mean value subtraction , frequency domain filtering and spectrum expansion with conjugation symmetry property
( 3 )从理论和实验两方面分析了全息图对比度增强、平均值相减、 hro 、频谱滤波等数字图像处理技术，及其在消除全息图衍射0级和孪生像，提高数值再现像信噪比方面的作用。 - It ' s a problem of great significance how to filtering a signal in joint time - frequency domain and reconstruct the time series from the time - frequency plane selected . in this thesis , the theory of joint time - frequency analysis and synthesis and time - frequency filtering is investigated . two kinds of new time - frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection
本文在系统学习现有的各种时频分析及其综合算法的基础上，详细研究了时频域滤波的核心思想和基本方法，吸取了自适应时频分析和线性子空间投影wigner - ville变换的优点，提出了的两种新的时频域滤波方法，并通过理论分析和数字仿真完成了相应的数值特性与应用特性研究。