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在matlab 中的单相并联有源电力滤波器 APF的 仿真(simulation of APF in matlab)

工具箱主要功能: 1） 姿态向量、四元数、矩阵、滤波算法等各类子程序 2） 圆锥运动仿真 划船运动仿真 惯性器件随机误差仿真 3） Kalman滤波初始对准 基于惯性系初始对准 罗经法初始对准 大方位失准角EKF初始对准 大失准角UKF初始对准 速度+姿态传递对准 4） 纯惯性导航SINS仿真 航位推算、SINS/DR仿真 SINS/GPS组合仿真 GPS/BD/GLONASS单点伪距定位 SINS/GPS松/紧组合 POS正逆向数据处理与信息融合仿真 5）(Toolbox main functions: 1) attitude vector, quaternion, matrix, filtering algorithms and other subroutines 2) conical motion simulation rowing simulation inertial device random error simulation 3) Kalman filtering based on initial alignment of inertial gyrocompass initial alignment law initial alignment of large azimuth misalignment angle EKF initial Alignment of large misalignment UKF initial alignment speed+ attitude transfer Alignment 4) pure SINS simulation inertial navigation dead reckoning, SINS/DR simulation SINS/GPS Integrated simulation of GPS/BD/GLONASS pseudoranges single point positioning SINS/GPS loose/tight combination of forward and reverse POS data processing and information fusion simulation 5))

卡尔曼滤波的matlab编写，全英文书籍(Kalman Filtering Theory and Practice Using MATLAB- Grewal and Andrews)

采用Matlab，计算薄板的固有频率和主阵型，并绘制出频率响应曲线，是振动分析、振动控制的基础(Using Matlab, calculate the natural frequency and the main sheet formation, and draw the frequency response curve, is the vibration analysis, vibration control based)

MATLAB与VC++的混合编程，讲述了MATLAB与VC++的接口制作方法(MATLAB and VC++ Mixed programming, described the MATLAB and VC++ Interface methods)

使用matlab提供的bp网络工具实现手写数字识别。内涵大量测试用手写数字(Bp using matlab network tools available to achieve handwritten numeral recognition. Test a large number of handwritten digital content)

this file is matlab code for hunting search algorithm.i think it can be so useful.thanks

说明：  数值分析-三样条差值函数计算给定点的值-三转角方法(Numerical Analysis- 3-spline function of calculating the difference of the value of a given point- 3 Corner Method)

说明：  我们知道进行雷达的恒虚警处理（CFAR）是非常重要的(We know that the radar CFAR (CFAR) is very important)

LLVM: A Compilation Framework forLifelong Program Analysis & Transformation. 2004 International Symposium on Code Generation and Optimization (CGO’04)