Face-Recognition--System

matlab时频分析工具包tftb，希望可以给需要的人，提供帮助(time-frequency analysis matlab toolkit tftb, hope to those who need to provide help)

基于matlab开发的使用agilent示波器程序(Matlab-based program developed using the agilent oscilloscope)

基于马尔科夫随机场的过绿色模拟退火的分割方法程序，包含如何建立马尔科夫随机场。(Markov random field segmentation method for green program based on simulated annealing, including how to build the Markov random field.)

粒子滤波重采样四种方法:多项式，残差，分层，系统采样(Implementation of four resampling methods (Multinomial, Residual, Stratified, and Systematic))

数字信号处理中关于快速傅立叶变换以及典型例题的matlab实现代码(Digital signal processing on the fast Fourier transform, as well as a typical example of the realization of matlab code)

说明：  实现几何均值分解，应用在MIMO系统中实现于预编码(Achieve geometric mean decomposition, used in MIMO systems to achieve the pre-coding)

modelseis, seismic modeling forward and inverse modeling,

这是基于matlab的关于LPCC (Linear Predictive Cepstral Coding)(线性预测倒谱系数) 的代码，对大家理解有一定帮助。(This is based on the matlab LPCC (Linear Predictive Cepstral Coding) (Linear Predictive Cepstral) code for us to understand some help.)

matlab c++对接matlab c++对接(matlab c++)

<<控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。("" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference.)