Toep_music-algorithm

钢琴演奏评价系统研究 关键词：音乐识别特征提取 STFT 调式自动判别匹 配比较(Piano Performance Evaluation System Keywords: music recognition feature extraction STFT mode automatically identify matching comparison)

this contains simulated model of 3 phase inverter in 180 degree mode

上传一个PCA的原代码，以便供大家互相交流和学习使用(the original code, in order for the mutual exchange and learning to use)

matlab图像预处理一些算法的实现，如巴特沃斯低通滤波器的实现等(MATLAB image processing algorithm implementations, such as Butterworth low-pass filter realization)

说明：  MSS-Toolbox for simulations about underwater vehicles

说明：  实验4 基于MATLAB的数字滤波器设计 有效的设计IIR和FIR滤波器(Experiment 4 MATLAB-based digital filter design effective design IIR and FIR filters)

线性调频信号的时域，频域表示，包括坐标转换设置。对雷达初学者有指导意义！(Linear FM signals in time domain, frequency domain representation, including coordinate conversion settings. Radar beginners guide!)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

随机一致性指标问题-Matlab实验课程学习资料，附源码(Random consistency index problem-Matlab experimental course learning materials, with a source)

采用zedboard、zynq等在matlab的平台上进行硬件协仿真的，文章介绍Getting Started with HW，环境的搭建和调试方式。(Using zedboard, zynq etc. on matlab platform for hardware co-simulation, the article describes the Getting Started with HW, build and debug mode environment.)