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This paper has given a thorough investigation into the application of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

重磁数据处理是地球探测与信息技术学科中重磁方法、理论在生产实践工作中的重要环节,其中反演问题和位场分离除了具备自身的作用外,两者并不是截然分开的。位场分离可以为反演问题提供更加可靠的先验信息,对提高反演精度具有一定的作用。反演问题是地球物理的核心问题。增

This paper has given a thorough investigation into theapplication of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

文摘:对BP神经网络在重力密度界面反演以及小波分析在位场分离上的应用进行了深入的研究,进而对小波神经网络在重磁资料反演中的应用前景进行了分析、评价。

A method based on wavelet analysis and wavelet ridge is proposed to demodulate the UM71 signal and extract its information features.

针对UM 71信号的信息特征,提出了基于小波分析技术、利用小波脊线对UM 71信号进行解调进而提取UM 71信号信息特征的方法,给出了小波算法解调过程,通过计算机仿真,证明了此方法的有效性。

This function is infinite-order differentiable with respect to wavelet coefficient, and can adaptively shrink wavelet coefficient in the neighborhood of the threshold.

其为收缩因子函数与小波系数的乘积,对小波系数无穷可导、可在阈值邻域内对小波系数自适应收缩。

Based on this idea, in this paper, we used an infinitely differentiable wavelet with a local support. Its properties are different from those of orthonormal wavelet bases.

基于这一思想,本课题所使用的小波不象一般的正交小波基局部性和正则性是冲突的,相反,它既是局部支撑的,又是无限光滑的。

This paper is based on the two dimension wavelet theory. It analyses the application of image processing and tries to reflect the character of two dimension wavelet applied to image processing.

本文从二维小波理论出发,对其在图像处理的应用上进行了一些分析和处理,力图反映出小波分析在图像处理方面有着其独特的特点。

According to the multi-scale propagation characteristic of image edge and noise as well as principle of edge detection using wavelet transforman,an algorithm based on cubic B-spline wavelet and directional derivative is presented.

根据图像边缘及噪声的多尺度传播特性和小波边缘检测的基本原理,提出了一种基于方向导数和三次B样条小波的边缘检测算法。

The wavelet coefficient which produced by wavelet transform can best display part character of the image.

经小波变换后产生的小波系数可以很好的体现图像信息的局部特征。

By the dynamic strain response test and its wavelet analysis of the driving axle housing models with and without prefabricated cracks respectively, the feasibility of the crack detection method which is based on the wavelet multiresolution analysis and the modern spectrum estimation is demonstrated.

通过对微型汽车驱动桥壳有、无预制裂纹模型试样在瞬态激励下的动态应变响应试验和小波分析,论证了采用小波多分辨分析和现代谱估计技术,通过对小波分解所得到的各尺度下细节信号的频谱分析,检测结构裂纹故障的可行性。

In this paper,a new image denoising algorithm via doubly local Wiener filtering with windows based on Stationary Wavelet Transform with the Dual Tree Complex Wavelet Transform is proposed.

提出了一种基于静态小波变换和对偶树复小波变换的加窗的双重局部维纳滤波图像去噪算法。

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