MATLAB

经典的可编程添加模块的面向对象的有限元程序代码(C++ code for OOFEM based on multi-systems)

可进行最小二乘法线性拟合输出，包含源代码及生成后的程序(Least-squares linear fit can be output)

test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as the system output signal. signal_analyzer.m first test1.txt data read workspace, and then proceed to FFT, analysis of the two signals in the frequency, the output for input amplitude attenuation (db), the output of the input phase difference.)

研究典型相关分析的各种线性算法和非线性算法，并通过实验数据的比较说明了它们各自的特点(Canonical Correlation Analysis Study of the various linear and nonlinear algorithms algorithms, and through comparison of experimental data shows the characteristics of their respective)

实现了对文档的数据读入，实现了文档的数据读入(The realization of the document data read into, The realization of the document data read into, )

详细介绍了PMF-FFT的原理和实现方法，对于初学者有一定的帮助(Details of the theory and implementation of PMF-FFT, there is some help for beginners)

本源代码是利用MATLAB逻辑工具箱诊断变压器故障。其中的相应数据及说明文档在word中总结。(Source code is the use of MATLAB Logic Toolbox for Transformer Fault Diagnosis. The corresponding data and documentation in word summary.)

通过换能器测量得到材料的信号到达时间，根据一些已知条件以及声学公式计算材料的声速(Measured by the transducer signal arrival time of the material, according to some known conditions, and calculated acoustic velocity materials)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

说明：  FFT，整型数据代替浮点型数据 本程序是搜集资料并加上自己的分析，整了很长时间才测试通过的FFT程序，运行时间和所占内存方面都比较满意。(FFT, integer data instead of floating point data This program is to collect data and add their own analysis, the FFT program passed the test for a long time, the running time and memory occupied are relatively satisfactory.)