Image-reduction

此程序用提升法实现第二代小波变换 用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))

说明：  局部线性嵌入算法的matlab代码,改算法是流形学习中的一个算法，目的是将高维流形空间映射到低维嵌入空间。可用于非线性高维数据的降维(matlab code of Local linear embedding algorithm )

这个是自己编写的MOD算法的程序，用于字典学习，具体的应用有图像融合，图像去噪，丢失点补充等。(this is a dictionary learning method, and the reader can use this algorithm to do image fusion and image denosing.)

KNN算法实现，初始化模糊成员等级 initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)

the Lagrange coefficient polynomials

基于RSSI的测距定位算法，可以直接自己写demo然后进行测试，十分的方便(RSSI-based distance positioning algorithm can write your own demo and then test, very convenient)

Given the refractive index of the external network (semi-infinite Bragg) and the frequency in units of frequency Bragg, is the graph of the transmittance as a function of incident angle. Fundamentals of Photonics-Second Edition

distorion less data hiding using matlab simulation

scm信道模型及其扩展模型，对SCM信道模型实现的信道特性进行了全面的仿真与分析。 (failed to translate)

fusion data demster shafer theory