LMSPandPVSS_LMS

In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.

说明：  太阳能电池板的模拟，来自阳光电源测试部，存在缺陷，请多指教(Simulation of solar panels, sun power test from the Ministry of flawed, Pleased to meet you)

说明：  matlab,自适应滤波算法，包括LSL,LMS等(matlab, adaptive filtering algorithms, including LSL, LMS, etc.)

说明：  分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器分类器(Classification classifier classifiers classifier classifiers classifier classifiers classifier classifiers classifier classifiers classifier classifier Classifier)

说明：  matlab学习总结汇总，是初学者的首先资料。有很多方法经验的总结。(matlab learning summary summary beginners First. There are many methods experience summary.)

Matlab, Laser, Hermite polynomals, m-file

说明：  利用CMA算法实现4QAM信号的盲均衡，步长0.001，SNR=15，取得了较好的结果。没有实现相位补偿(Using the CMA algorithm to achieve blind equalization of 4QAM signals, with a step size of 0.001 and SNR = 15, good results have been achieved. No phase compensation)

利用MATLAB编码来解决离散正交多项式。(The use of MATLAB code to solve the discrete orthogonal polynomials.)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

Caluclate the inductor and capacitor values for inverter filter