hfssapi

pathdef is something in matlab tamala

服务桥结构静态参数识别算法Levenberg-Marquardt（L-M方法）matlab源程序(Algorithm for static parameter identification of service bridge structures Levenberg-Marquardt (L-M method) matlab source program)

beam steering using planar arrays

标准粒子群算法，应用领域广阔，收敛快计算精度高(Standard particle swarm algorithm, broader applications, fast convergence and high precision )

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

matlab有关遗传算法的源程序，并且内含有智能算法原理与应用的PPT.(matlab source of genetic algorithms, and the principles contained PPT intelligent algorithms and applications.)

MIS结构是半导体技术中的一个重点研究内容，本程序使用matlab程序编写，用于模拟MIS电容在不同频率和不同的非理想因素影响下的C-V特性(MIS structure is a key semiconductor technology research in the content, this program uses the matlab programming, used to simulate the MIS capacitor at different frequencies and different factors of non-ideal CV characteristics under)

Statistical Pattern Recognition Toolbox(This toolbox implements a selection of statistical pattern recognition methods described in the monograph )

high patch filtering

说明：  分变模态分解（Variational Mode Decomposition，VMD）是一种具有坚实数学基础的分解算法，能够通过建立约束变分模型表达式，将信号以非递归的方式自适应地分解为若干本征模态分量(Variational Mode Decomposition is a decomposition algorithm with solid mathematical foundation. It can adaptively decompose signals into eigenmodes in a non-recursive manner by establishing constrained variational model expressions.)