fuelcell_5

线性卷积要求两个输人序列具有持续时间，但在实际应用中，可能遇到输人序列具有无限持续时间的情况。在这种情况下，分段卷积是一种有效的解决方案。文章讨论了计算分段卷积的两种方法。仿真试验表明，分段卷积方法正确且高效。(The linear convolution needs two finite-time input sequences, but in the actual application, two infi- nite-time input sequences are possible. Under this kind of situation, the partition convolution is an effective solu- tion. In this paper, two methods of the partition convolution are discussed. The simulation experiment indicatesthat the partition convolution is correct and effective.)

用matlab的GUI做的一个数字信号处理系统，选择输入信号波形及频率，进行滤波、频域分析等等。(Using matlab to do the GUI of a digital signal processing system, select the input signal waveform and frequency for filtering, frequency domain analysis and so on.)

matlab基础，及其源代码，主要是数学建模中用的(matlab based on its source code, mainly used in the mathematical modeling)

matlab simulink 实现TCM网格编码调制仿真。较好调试。(Matlab Simulink TCM Trellis Coded Modulation simulation. Better debugging.)

为减小感应电机转动惯量对机械特性的影响 ,基于最小二乘法 ,引入开关控制器 ,构建了一种新 型的最小二乘参数辨识器 (To reduce the infl uence tha t the vari ai on of the inertiato the mechani cal characteristics of induction moto r , a new identifier based on the Recursive L eat Square salgorithm is propo s ed . )

DJIKSTRA ALGORITHM IMPLEMENTATION

最新版的SVM工具箱，从新编译了qp.dll,解决了高版本不能运算的问题(The latest version of SVM toolbox, recompile the qp.dll, version can not solve the problem of high computing)

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)

vedio codec demo in matlab

Matlab中AR模型的应用，相关数据分析(Matlab application of the model of AR, the relevant data analysis)