svmsmo

说明：  这是一本电力电子与电力拖动的仿真教程，相对来说讲的比较详细，也比较全面。(This is a drag power electronics and power simulation tutorial, relatively speaking in more detail, but also more comprehensive.)

读取excel文件并获取对应文件的详细信息(Read excel file and obtain the corresponding documentation for more information)

英文原版书籍《MATLAB Programming With Applications for Engineers》中例子及课后习题代码(Code of the book《MATLAB Programming With Applications for Engineers》)

支持向量机的matlab程序实现，可用于模式分类，模式识别(SVM matlab program can be used for pattern classification, pattern recognition)

mstar mst705 所有源代码, 官方代码库，可以直接修改使用。(mstar mst705 all the source code, the official code base can be modified using direct.)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

有关交互多模型matlab实现算法，仿真场景可以自己设计(Related to interactive multi-model algorithm matlab, simulation scenarios can be designed)

在采样频率为1Hz，数据长度为1000点和信噪比为10dB的条件下，进行PPS信号的DPT迭代检测(the sampling frequency of 1Hz, data length of 1,000 points and 10dB signal-to-noise ratio for the conditions, PPS signal for the detection of DPT iterative)

CONVNFFT_Folder programming

实现茶叶的RGB颜色分量提取，并通过分量所占比例与模板的匹配来鉴别茶叶品质(Realization of the tea RGB color components extraction, and through the component proportion of template matching to identify with the tea quality )