lecture8

power flow analysis using newton raphson method

实现了AIC（主动干扰消除）算法，并仿真了AIC算法的性能(Realized AIC (active interference cancellation) algorithm and simulated performance of the algorithm AIC)

说明：  该系统为基于MATLAB平台的PCA的人脸识别系统，可识别ORL和YALE人脸库，方法实现统一，包括GUI界面。另外可二次开发成摄像头的实时人脸系统，识别出库外人脸，可做成门禁系统，考勤系统，打卡签到系统。实现登记出勤，报警等。 含论文，详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The method is unified, including GUI interface. In addition, it can be developed into a real-time face system of camera, which can recognize the face outside the warehouse, and can be made into access control system, attendance system, punch in system. Register attendance, alarm, etc. Including paper and detailed notes.)

主要是讲MATLAB的基础教程，是本不错的点击书籍！携带方便。(Mainly stresses the basis of MATLAB tutorial, click on the good books! Easy to carry.)

把无迹卡尔曼滤波应用在惯性导航系统的处理中~用于估计状态变量误差~(Unscented Kalman filter applications in the treatment of the inertial navigation system- used to estimate the state variable error ~~)

仿真绳动力学 模型为非弹性模型,解代数微分方程(simuliation of tether)

基于mfcc参数的语音识别，matlab代码，可以对孤立语音词识别(Speech recognition based on MFCC parameters, matlab code, can identify isolated speech words)

MATLAB6.5辅助优化计算与设计,遗传算法在车间布局优化中的应用(We address the two-stage assembly scheduling problem where there are m machines at the first stage and an assembly machine at the second stage. )

通过给定的风速数据,自动绘制相应的风玫瑰图。(Through the data from a given wind speed, the corresponding wind rose. )

律u律pcm编码 若输入A律PCM编码器的正弦信号为x(t)=sin(1600πt),采样序列为x(n)=sin(0.2πn),n=0,1,2,…,10，将其进行PCM编码，求出编码器的输出码组序列y(n)。 要求：1) 直接采用A律扩展器函数求解上述问题。 2）使用13折线法近似A律PCM 求解上述问题。 3）计算量化误差。(Law a law pcm coding If the input A-law PCM encoder is sinusoidal signal x (t) = sin (1600πt), for the sample sequence x (n) = sin (0.2πn), n = 0,1,2, ..., 10, it will be PCM coding to obtain the coded output code group sequence y (n). Requirements: 1) directly A-law expander function to solve the above problems. 2) using a 13 fold line approximation A-law PCM to solve the above problems. 3) calculating the quantization error.)