SMA_inverter

LDPC码的完整的编译码，虚拟力的无线传感网络覆盖，小波包分析提取振动信号中的特征频率。( Complete codec LDPC code, Virtual power wireless sensor network coverage, Wavelet packet analysis to extract vibration signal characteristic frequency.)

新型pid控制算法,对传统的pid设计新手来说具有很强的借鉴意义.(new pid control algorithm, the pid of the traditional design rookie has a strong reference.)

非线性SVM分类器，可以很好的将两类划分开(Non-linear SVM classifier, can be very good by the two open)

基于改良圈算法的MATLAB编程求解旅行商问题，程序简单，但是比较粗糙(Improved algorithm based on MATLAB programming cycle traveling salesman problem, the program is simple, but relatively rough)

inverse-dual tree discrete wavelet transform (i-dtdwt) matlab codes

基于EKF的机器人SLAM演示程序, 对于搞机器人定位及地图构建的朋友会有一定帮助, 这个版本用的人比较多(EKF-based SLAM demo of the robot, the robot carry out positioning and mapping will have a certain friend to help, this version used by many people)

：在介绍过程监控主要内容及方法的基础上，归纳分析了统计过程监控的发展，详细阐述了传统 的PCA、PCR、PLS、FDA、HMM 和几种改进的PCA方法．指出，将人的经验和专家知识融人到PCA统计过程 监控，提高PCA的故障检测、隔离能力，完善故障诊断与评价能力，将是一个有价值的研究方向(: In the introduction the main content and methods of process monitoring based on the inductive analysis of the statistical process monitoring of development, elaborated on the traditional PCA, PCR, PLS, FDA, HMM, and several improved PCA method. Pointed out that the human experience and financial expertise to the PCA statistical process monitoring of people and improve the PCA fault detection, isolation, and improve fault diagnosis and evaluation capacity, will be a valuable research)

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

Its a RF aplication in Matlab in Simulink.

时间提前程序，讲时间序列统一提前一年，在雨量站资料处理上很有用(Program ahead of time, say one year ahead of time series, uniform, stand in the rain on the useful data processing)