BE-CO-RO-1991

用小波变换去除荧光背景，扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)

实现对图像的gabor小波变换，利用了opencv的函数库，可实现方向和尺度等多项选择。(Achieve image gabor wavelet transform, using the opencv function library, enabling the direction and scale and many other options.)

svd算法的实现,用matlab实现SVD算法(the implementation of the SVD algorithm)

小波变换的模极大值重建信号源程序 非常具有参考价值(wavelet transform modulus maxima reconstruction signal source is a very valuable reference)

先进行提升小波变换，然后使用提升小波进行图像的分解和重构(Be carried out on lifting wavelet transform, and then use the images to enhance the wavelet decomposition and reconstruction)

小波分解与重构，该程序可以实现小波变换的分解与重构。(Wavelet decomposition and reconstruction, the program can achieve wavelet transform decomposition and reconstruction.)

说明：  关于小波变换及其应用的一本经典教材，值得学习(A classic textbook on wavelet transform and its application is worth learning)

在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)

一个在国外大牛对小波变换的讲解，通俗易懂(A large foreign cattle in explaining the wavelet transform, straightaway)

关于小波变换及其应用的一本经典教材，值得学习(A classic textbook on wavelet transform and its application is worth learning)