Segmentation

DWT小波变换源码 离散小波变换 我用过了，还不错(Wavelet Transform DWT Discrete Wavelet Transform source I used, and also a good)

说明：  BOOST变换器SIMULINK仿真图，经测试可用，可根据需要修改相应参数。(BOOST converter SIMULINK simulation diagram, can be used by the test may need to be amended in accordance with the corresponding parameters.)

刚从老师实验室拿到的智能天线算法，采样矩阵求逆法，算法很精简，在DSP实现耗费时间很少，是个好算法。(just emerging from the laboratory to get teachers of smart antenna algorithms, matrix inversion sampling method, the algorithm is very concise, In DSP little time-consuming, is a good algorithm.)

两层的层次分析法的例子，能够很好地判断结果,亲测可用。(Examples of two of AHP, the result can be a good judge, pro-test available.)

understanding GPS KAPLAN Second edition

DSM Matlab..............................

用于通讯仿真的viterbi算法完整实现方案.用途广泛.(communications for the Viterbi algorithm simulation complete realization of the program. A wide range of uses.)

matlab中处理复杂网络的bgl包的使用手册 值得收藏 废话不多说(the the bgl package deal with complex network worth collecting user manual matlab )

说明：  6节点AP聚类算法小算例，可运行，编程讲解详细(6-node AP clustering algorithm, can run, programming explained in detail)

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)