WuYufei_matlab

主要是对测井资料进行分析，要对数据数字化之后进行，而且采样间隔一定(log Processing)

学习资料，MATLAB初级学者应用(learning materials, MATLAB application junior scholars)

输入为一个序列或两个序列，输出为其自相关序列或互相关序列(Input as a sequence or two sequences, the output of its autocorrelation sequence or cross-correlation sequence)

此程序计算了空间功率平均分配和注水分配的情况下信道的容量和中断容量。(this procedure to calculate the average power distribution space and the distribution of water injection under the channel capacity and outage capacity.)

utilities for Kalman filtering, unscented filtering, particle filtering, and miscillaneous other things. This code is stable and fast. (utilities for Kalman filtering, unscented filtering, particle filtering, miscillaneous and other things. This code is st able and fast.)

capon算法，实现波达方向估计，不需要提前估计信源数！角度分辨力较高！(the the capon algorithm, the DOA estimates that do not need to estimate the number of sources in advance! High angle resolution)

M-File Construction Rules

Enable interrupts on Powertec SCSI card.

在matlab-simulink里搭建的一个三项线路故障模型，可用于故障测距，定位(A three fault lines in matlab-simulink model built in, can be used for fault location, location)

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)