f5_18

3-dimension fdtd code using matlab

Unconstrained problem

This file contains the scalar control for induction machine. This is a Matlab simulation.

music高阶谱分析算法，用MATLAB实现的压缩传感，包括AHP，因子分析，回归分析，聚类分析，包含了阵列信号处理的常见算法，模拟数据分析处理的过程，含噪脉冲信号进行相关检测,IDW距离反比加权方法。( music higher order spectral analysis algorithm, Using MATLAB compressed sensing, Including AHP, factor analysis, regression analysis, cluster analysis, Contains a common array signal processing algorithm, Analog data analysis processing, Noisy pulse correlation detection signal, IDW inverse distance weighting method.)

cdma2000前向链路系统下的matlab仿真程序大家(cdma2000 link to the system under the Matlab simulation program we look at)

基于自适应卡尔曼滤波的盲多用户检测算法 论文(Blind Multi user Detection Algorithm Based on Adaptive Kalm an Filter)

thermal resistor calculate

用matlab编写的关于天线问题的程序，用于计算细直导线电容(Prepared using matlab antenna problems on the procedures used to calculate the straight fine-wire capacitance)

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.

NSGA - II A multi-objective optimization algorithm