Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
在探索单尺度径向小波框架与径向基函数网络对函数逼近特性相似的基础上，构造了单尺度径向基小波网络。
The method adopts redundant wavelet, which is called wavelet frame, to decompose and then to achieve the characteristic description of stability and translational constancy.
本文提出一种新的多分辨率纹理分类方法，该方法采用称为小波帧的冗余小波分解，从而获得具有稳定性和平移不变性的特征描述。
Wavelet frame redundancy leads to robustness, that wavelet transform coefficient obtained in low accuracy can be used to reconstruct original signal in comparative high accuracy.
小波框架的冗余可导致鲁棒性，冗余使得低精度下获得的小波系数能在相对高的精度下重建原始信号。
Frame theory is one of efficient tools in the signal processing. At present frame theories have been widely used in wavelet analysis, image processing, numerical analysis, etc.
小波框架理论是信号处理的一种有效工具，目前已经广泛应用于小波分析、信号分析、图像处理数值计算等理论和应用领域。
Some research is processed as follow:In the area of video de-noising, we did our research on various intra-frame de-noising methods on spatial domain, frequency domain and wavelet domain.
在视频降噪方面，从帧内与帧间两个角度对视频降噪方法进行了研究。
Some research is processed as follow:In the area of video de-noising, we did our research on various intra-frame de-noising methods on spatial domain, frequency domain and wavelet domain.
在视频降噪方面，从帧内与帧间两个角度对视频降噪方法进行了研究。
应用推荐