face-detection

说明：  此为建模竞赛试题的一解决方案，题目及解题原理易见于普通建模辅导资料。程序使用图论模型完整解决了问题。(Modeling this as a test solution, the principle of easy questions and problem-solving counseling information modeling in general. Procedures for the use of graph theory model of a complete solution to the problem.)

反馈控制系统设计与分析－MATLAB语言应用（薛定宇）(Feedback Control System Design and Analysis-MATLAB language applications (Xue Dingyu))

Matlab仿真应用模型，仿真电力系统的各种故障类型，基于SIMULINK(Matlab simulation application model, simulation of various fault types of power system based on SIMULINK)

本文档介绍了关于信道仿真的一些程序代码和一些仿真结果，并对各种信道仿真结果做了比较和分析(This document describes a number of channel simulation program code and some simulation results, and a variety of channel simulation result of the comparison and analysis)

蒙特卡罗实验，计算误码率。为书上的程序。可以参考(Monte Carlo experiment to calculate the error rate. Procedures for the book. Can refer to)

《Matlab高级编程》由高级编程技术、程序编译、Matlab与外部程序接口和高洁界面主题等几个方面的内容组成，介绍一些非常实用的技术。(Matlab Advanced Programming by the advanced programming techniques, program compilers, Matlab external interface API and noble themes, and several other aspects of the composition, introducing some very practical technology.)

这段代码是用来求希尔伯特变换的，希望对大家有用(The Hilbert transform )

An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude regenerative amplification, we show significant simultaneous suppression of both phase and amplitude noises of (D)QPSK signals under optimized conditions. The reduction in the phase noise variance of a noise-corrupted DQPSK signal obtained by one such regenerative amplification can be as large as 5.5 folds, showing its good potential for distributed optical regeneration of (D)QPSK signals.  2008 Elsevier B.V. All rights reserved.

Steepestdecent算法程序，matlab实例程序，适合初学者学习(Steepestdecent algorithm procedures, examples of Matlab procedures for beginners learning)

bisection method implementation in matlab