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关于MALLAT算法的原理和程序，matlab编制(MALLAT algorithm on the principles and procedures, the preparation of Matlab)

matlab7.0应用教程，涵盖了mantlab的所有基础知识，是一本想学习matlab的一本不可多得的教材(matlab7.0 application tutorial, covering all the basics mantlab is a want to learn matlab' s a rare textbook)

精通GUI图形界面编程(MATLAB)，北京大学出版社，施晓红等主编(a book for MATLAB GUI programming.)

Consist of simulink models of Dstatcom. Effects of dstatcom and its application in power system.

DFT和FFT的matlab实现及算法差异的证明，如复杂度等。（精度、不同长度的序列等）。(DFT and FFT algorithm matlab realize the difference and proved as complex and so on. (Accuracy, sequences of different lengths, etc.).)

matlab的一些函数功能，方便用户各自要求进行选择。(some function matlab function to facilitate the users to choose their own requirements.)

说明：  matlab统计分析工具箱里面没有频数统计函数，有些情况下频数统计可以很直观地显现统计规律。(statistical analysis toolbox matlab There are no statistics on the frequency function, in some cases frequency statistics can be intuitively apparent statistical regularity.)

说明：  灰色预测模型的matlab代码，大家可以根据自己的需要修改(Gray prediction model matlab code, you can modify according to their own needs)

说明：  神经网络 侯媛彬 西安电子科技大学出版社 全书程序文件夹CH8(Neural network)

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)