MUSIC-source-based-decorrelation

Step 1: Set i=1 FA=f(a) Step 2: while i≤ No do step 3-6. Step 3 set p=(a+b)/2 FP=f(p) Step 4 if FP<TOL or (b-a)/2<TOL then OUTPUT(p) STOP. Step 5 set i=i+1 Step 6 if FA.FP > 0 then set a=p FA=FP else set b=p. Step 7 OUTPUT (‘Method failed after No iteration,No=’, No) STOP.

THE FILE USE FOR ANIMATE THE DATA PLOT

％ PURPOSE : Demonstrate the differences between the following ％ filters on a simple DBN. ％ ％ 3) Particle Filter (PF) ％ 4) PF with Rao Blackwellisation (RBPF)( PURPOSE: Demonstrate the differences between the following filters on a simple DBN. 3) Particle Filter (PF) 4) PF with Rao Blackwellisation (RBPF))

for fast optimize programming in matlab

介绍了通信系统中幅度调制的基本例子，将信息加载到幅度参量中。(The basic example of amplitude modulation communication system, the information will be loaded into the magnitude of the parameters.)

说明：  探究粒子群算法对电机的估计，具有重要意义。(It is important to explore the estimation of the motor by particle swarm.)

Fuzzy similar matrix MATLAB program 模糊相似矩阵的MATLAB 程序 (Fuzzy similar matrix MATLAB program )

比较两个netcdf文件 1。通过添加内部ind2sub1函数remove函数依赖第三方 2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models. USAGE: NCCMP(ncfile1,ncfile2) NCCMP(ncfile1,ncfile2,tolerance,forceCompare) INPUT: ncfile1- name of the NetCDF file to compare ncfile2- name of the NetCDF file to compare tolerance- Compare numeric data using a tolerance threshold forceCompare- if false, exit when first difference is found true: continues to process all variables EXAMPLES: nccmp( old.nc , new.nc ,0.000001) nccmp( old.nc , new.nc ,[],true) FEATURES: 1. Print the differences and their locations 2. Exits when first difference is found or optionally continues to process all variables 3. User defined tolerance threshold to compare the variables TO DO: 1. Specific variable inclusion or exclusion 2. Specific attribute inclusion or exclusion 3. Option to ignore the history attribute 4. Ignore difference between v)

图像均值和中值滤波,利用matlab软件编写，里面有代码说明，程序运行结果(Mean and median filtering image using matlab software development, which has the code description, the program runs results)

各向异性去噪，考虑到空间域的临近关系，同时考虑灰度的相似性，是相对比较经典的去噪模型(Anisotropic denoising, taking into account the close relationship between the spatial domain, taking into account the similarity of gray, is a relatively classical denoising model)