Kernel-PCA

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)

基于matlab的和通道，差通道的波束形成，以及误差信号分析。(Based on matlab and channel bad channel beamforming, as well as the error signal analysis.)

A function to evaluate a neural nets performance as called from the PSO function

upsampling and downsampling

该程序是基于matlab/simulink下的扩频调制仿真通过采用PN码来调制信号，实现扩频调制( The program is spread spectrum modulation simulation matlab/simulink based under PN code through the use of modulated signals, spread spectrum modulation)

LTE PDSCH信道仿真，包含三种MIMO模式(LTE PDSCH channel simulation)

MATLAB通信系统仿真（程序库），建立一个仿真系统(MATLAB simulation of communication systems (library), the establishment of a simulation system)

Fuzzy support vector machine for regression estimation

用于完成发动机状态切换，以及在不同状态下进行不同的状态操作(State switch for the completion of the engine, as well as in different states under different state operation)

实现重力场位场分离，下乡延拓，扩边滤波，适合地探重磁处理(Achieve gravity field field separation, the countryside extension, expansion side filtering)