DIEDAI

matlab车牌识别源码，完整的编译通过的程序和测试图片哦(matlab ticket recognition source code)

扩展Klman滤波在车辆GPS/DR组合定位系统信息融合中的应用，主要包括：产生车辆运行轨迹，GPS卫星单独定位导航，DR车辆航迹单独定位导航，GPS/DR通过扩展卡尔曼滤波进行多源数据融合实现的组合定位导航。产生的结果有车辆实际运动轨迹，车辆在GPS定位下的运动轨迹，车辆在DR定位下的运动轨迹，车辆在GPS/DR数据融合后组合定位轨迹，以及各种定位方式在北向和东向各自的误差图。(The extended Klman filter in vehicle GPS/DR integrated navigation system information fusion application, mainly including: the generation of vehicle trajectory, GPS satellite positioning and navigation of vehicle track alone, DR alone, GPS/DR positioning and navigation, by extending the Calman filter to achieve multi-source data fusion combined navigation. The result of actual vehicle trajectories, trajectories of vehicles in GPS positioning, DR positioning in the vehicle trajectory, vehicle location trajectory in GPS/DR after data fusion, as well as a variety of ways to locate and east the error map in the north.)

潮流计算MATLAB 潮流计算MATLAB 潮流计算MATLAB 潮流计算MATLAB 潮流计算MATLAB(power flow matlab power flow matlab power flow matlab power flow matlab power flow matlab power flow matlab power flow matlab power flow matlab power flow matlab )

微分方程求解，利用matlab软件，解决微分方程领域各种问题(Solving differential equations using matlab software, field problems to solve differential equations)

Simulation of an Elastic lidar system.

说明：  用matlab模拟圆孔衍射图像，入射光为平面波，衍射距离可以任意调节(Matlab simulation using circular aperture diffraction images, the incident light for the plane wave, diffraction can adjust the distance)

说明：  空时自适应信号处理,滤波器设计资料,滤波器设计专著(spatial temporal filter)

此程序包含心音信号的低通滤波、小波去噪、EMD分解、希尔伯特黄变换以及心音阈值定位一系列算法。输入为采集到的单通道心音信号。入口程序为main.m (A program that process heart sound signals to separete each heart sound clearly.Functions like Low-pass filters and Hilbert transformers are involed.)

particle filter粒子滤波简易程序(particle filter)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)