Wavelets-applications

提升小波包学习资料，对了解学习提升小波包，研究算法的改进很有帮助(Lifting wavelet package learning materials, learning to enhance the understanding of wavelet packet of helpful Algorithm)

Wavelet compression algorithm. Start by computing a complete wavelet-transform using the cohen-daubechies-fevereau (2,2) biorthogonal wavelet (which incidentally seems to be the same as used for lossless JPEG2000, but they call it a (5,3)?).

文基于小波分析的特点，提出了一种对信号进行多重小波 变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的 问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。(The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect.)

利用小波包分析信号的matlab程序，大家可以参考(Matlab program using wavelet packet analysis of the signal, we can refer to)

wavelet analysis of an image

curvelet变换最新工具包，含有快速离散曲波变换的所有形式（包括基于usfft和wrapping和3dfdct）。功能强大，是学习曲波变换的好帮手。(curvelet transform the latest kit, containing the fast discrete curvelet transform all forms (including those based on usfft and wrapping and 3dfdct). Powerful learning curvelet transform is a good helper.)

用matlab如何实现fft变换，进而得到经过fft变换后的图像(How to implement FFT transformation with MATLAB)

基于论文<<Blur Detection for digital images using wavelet transform>>,使用Haar小波变换实现图像模糊度检测。(Based on paper <Blur Detection for digital images using wavelet transform> > , Using the Haar wavelet transform of image blur detection.)

Multiscale Curvature-Based Shape Representation Using B-Spline Wavelets

说明：  小波阈值去噪，用于对以为信号降噪处理，代码为matlab代码，亲测有效(Wavelet threshold denoising)