DSS_NBI_suppression_fft

一维信号的小波变换原程序，用MATLAB编写的。对于初学者理解小波变换的含义非常有帮助。(One-dimensional wavelet transform of the original program, written using MATLAB. Wavelet transform for beginners to understand the meaning very helpful.)

刘宝碇《不确定规划及应用》第4章例4.4的matlab程序。内容简单，但可以有效的帮助初学者理解随机模拟的原理。(Liu anchor " uncertain Planning and Applications" in Chapter 4 Example 4.4 matlab program. Content is simple, but can effectively help beginners understand the principles of stochastic simulation.)

The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after decomposition) is distributed as water-filling algorithm

说明：  卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值，他是用状态方程和递推的方法进行估计，本例用来追踪一个5阶的FIR不确定的滤波器系数。(Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation methods, in this case is used to track a 5-order FIR filter coefficients of uncertainty.)

说明：  轧钢神经网络的MATLAB实现程序，自认为还可以(MATLAB)

This is source code concerning with chapter 4 of DIP book

是一种双隐层反向传播神经网络，双向PCS控制仿真，结合PCA的尺度不变特征变换(SIFT)算法。( Is a two hidden layer back propagation neural network, Two-way PCS control simulation, Combined with PCA scale invariant feature transform (SIFT) algorithm.)

在matlab中实现峰值信噪比的函数 function y=psnr(im1,im2) 计算峰值信噪比程序——————————————— - ininput im1 : the original image matrix (For peak signal to noise ratio in matlab function function y = psnr (im1, im2) calculated PSNR program)

基于MATLAB的直角坐标潮流计算程序基于MATLAB的直角坐标潮流计算程序(MATLAB-based computer program based on the trend of rectangular coordinates of the rectangular coordinates power flow calculation MATLAB program)

This Matlab code calculates the Rand Index and Adjusted rand Index between two clustering groups. The two input clusters has to be in the form of a structure as shown in the example mat file ( A and B ) attached in the folder. The code calculates the contingency table among the cluster and then calculates the Rand Index and Adjusted Rand Index. Using the value of the indices one can know about the similarity of the clustering group