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FWT_DD用Deslauriers-Dubuc滤波器计算插值小波正变换
IWT_DD逆变换-FWT_DD with the 76th meeting-Philippe calculated interpolation filter wavelet transformation IWT_DD inversion
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基于小波和插值的超分辨率图像重建算法，通过插值后将小波分解应用于图像中，再通过逆变换得到重构图像-And interpolation based on wavelet super-resolution image reconstruction algorithm by interpolating the image after the wavelet decomposition used, then the reconstructed image through the inverse tran
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小波插值与小波构造matlab源程序（3个程序）-Wavelet Interpolation and Wavelet matlab source (3 procedures)
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小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image
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小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image
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是小波变换的C语言程序~ 还有插值函数 采用正弦信号做样本-Is the wavelet transform of the C language program- there are interpolation functions using sinusoidal signals with sample
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小波变换后的插值方法，经过调试成功，可放心使用的！在db4后用的插值方法！-Wavelet transform of the interpolation methods, after successful commissioning, can rest assured that the use of! In the interpolation method used after db4!
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图像的插值法生成更大的图片，小波分解和合成，对学习小波变换是一个不错的参考。-Image interpolation generates a larger image, wavelet decomposition and synthesis, to learn wavelet transform is a good reference.
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实现文章 李根.基于小波变换修正的双线性图像插值图像放大方法，信息技术，2010.9 一文的仿真。包括自编的双线性插值和最近邻插值方法。-Lee, realize the article based on wavelet transform image modified bilinear interpolation method of image magnification, information technology, article 2010.9 of the simulation. In
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MATLAB实现小波变换经典程序，包括采用多孔trous算法实现小波变换、基于小波消噪的雷达回波检测、小波插值与小波构造、小波滤波器构造和消噪程序、小波谱分析mallat算法经典程序、小波图像重构 Matlab 程序-MATLAB wavelet transform classic program, including the use of undecimated wavelet transform algorithm to achieve the wavelet transform, the
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傅立叶变换，各种频域变换和滤波，分割，小波变换，插值拟合-Fourier transform, a variety of frequency domain transformation and filtering, segmentation, wavelet transform, interpolation fitting
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