Sine_PWM_Final_sfun

matlab进行拓扑排序的程序，在matlab中实现了拓扑排序算法。(matlab for topological sort of the process is implemented in matlab a topological sorting algorithm.)

计算弧齿锥齿轮几何参数及生成齿面上的点的坐标值(Calculate the value of the coordinates of arc bevel gear geometric parameters and generate the tooth surface points)

Radon Transform and Inverse radon 180 degree movement step by step

RLS和LMS对比分析和研究，比较了它们的性能和优缺点，调试成功，可以使用(RLS and LMS comparative analysis and research to compare their performance advantages and disadvantages, debugging, you can use)

Lung Cancer Detection and Classification Using ANN & Multinomial Bayesian Classifier

求算两个时间序列的曲线相似度，相似度的绝对值越接近于1，说明两者的相似度越高。(Calculate the curve of two time series similarity, the similarity of the absolute value is closer to 1, the higher the similarity of the two.)

说明：  RGB色彩空间转换为Ycbcr色彩空间并进行非线性变换后判别肤色 仅供大家参考(RGB color space conversion to Ycbcr color space and nonlinear transformation discriminant color only reference! !)

利用FFT方法和维纳-辛钦定理自相关函数获得功率谱的对比。(Using FFT method and Wiener- Khintchine theorem to obtain the autocorrelation function of the power spectrum contrast.)

Modeling Rayleigh fading channel based on modified Jakes channel model.

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.