iriscloud

牛顿插值和三次样条插值的matlab实现(Newton interpolation and cubic spline interpolation)

说明：  这是一个用c++实现的程序，功能：熟悉Mallat 算法、Daubechies 小波的构造、样条小波的性质(err)

说明：  matlab教程，查询一些命令，使用方法，例子，可以用来仿真，实验等(matlab tutorial, query a number of commands, use, examples, can be used to simulate experiments)

Implements Frequency Shift Keyed (FSK) receiver at Bell 202 standard

A new method of itertions for dictionary traning via KSVD

多种视频压缩算法，包括霍夫曼编码，算术编码dct，jpeg，小波变换(A variety of video compression algorithm, including Huffman coding, arithmetic coding DCT, jpeg, wavelet transform )

mathlab的各种命令程序实例，快速的运用matlab(mathlab)

WiMAX系统仿真，感觉做得很标准，欢迎参考。(WiMAX System Simulation, feeling very standard to do are welcome to reference.)

Face recognition for Yale face database

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)