lms_beamforming

粒子滤波示例代码~粒子滤波器算法，用于参数优化和状态估计~(Particles filters)

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.

主成分分析，进行主成分分析，使用MATLAB进行主成分分析。(main compeneont analysis)

设计一个 MAC FIR滤波器 设计一个 MAC FIR滤波器(The design of a MAC FIR filter design of a MAC FIR Filter)

中文简体转换为繁体,繁体转换为简体中文版。 中文简体转换为繁体,繁体转换为简体中文版。(China CN to China TW)

实现了erlang公式的计算，可通过任意两个已知变量求出另一个，有良好的GUI。(The calculation of Erlang realized the formula, which can pass any two known variables can be another, has a good GUI.)

MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white. Usage:

The attached file acts as guidance to developers working in the matlab platform.

matlab code to identify the language in the files

dynamic voltage restorer for sag and swell