DV_Hop

数字信号处理的小例子(digital signal processing small examples)

主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归(The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression)

现代电力系统分析书后PQ分解潮流计算程序(Modern power system analysis book PQ decomposition flow calculation procedures)

小波变换，小波去噪，小波滤波新方法（软阈值）(Wavelet transform, wavelet denoising, wavelet filtering new methods (soft threshold))

详细介绍了PSO算法的实现过程！keshiixangezhongliziqunsuanfa!(PSO algorithm was introduced in detail the implementation of the process!)

说明：  做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

Abstract：Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationofπ/ 4-DQPSKsysteminthesoftwareSystemView.Besides，thearticleanalysesthedynamicandstatic behaviorsoftheπ/4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetweenπ/4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingofπ/4-DQPSKissuperiortothatoftheQPSKsystem. Keywords：π/4-DQPSK；SystemView；computeraideddesign（CAD）；Matlab(Abstract: Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationof pi/4-DQPSKsysteminthesoftwareSystemView.Besides, thearticleanalysesthedynamicandstatic behaviorsofthe pi /4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetween pi /4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingof pi /4-DQPSKissuperiortothatoftheQPSKsystem. Keywords: Pi /4-DQPSK; SystemView; Computeraideddesign (CAD); Matlab)

radar matlab simulation

在分析结构损伤后，给结构添加噪声，再对结构不同损伤情况下的分析(After the analysis of structural damage to the structure adding noise, and then the structure is different in case of damage)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)