app1

3d-fdtd with upm ABC(3d-FDTD in matlab with upml ABC)

正交频分复用系统中的一种子空间盲信道估计matlab仿真源程序(Orthogonal frequency division multiplexing system in a subspace blind channel estimation matlab simulation source)

模拟光在具有PT-symmetry 的固体结构里的传播，这是当前一个非常前沿的研究领域(The analog light in the spread of the solid structure of the PT-symmetry, which is a very cutting-edge research areas)

建立飞行器在大气模型下的六个参数（经度变化、纬度变化、距离地心距离、速度、航迹倾斜角和航迹方位角）在180秒内的修正变化情况(Build six The aircraft under atmospheric model parameters (longitude change, latitude, distance geocentric distance, speed, track and track azimuth angle of inclination) correction within 180 seconds of the change in circumstances)

设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB，阻带衰减40dB，分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器，对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)

说明：  线性调频信号的分数阶傅里叶解析，检测与参数估计(LFM fractional Fourier analysis, detection and parameter estimation)

for the dcm file read.

华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM(You are to write a particle filter and a Kalman filter for robot localization. The script generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID. )

Particle Swarm Optimization Toolbox (PSO)

振动消噪代码，包括白噪声、有色噪声、粉色噪声的生成；相关系数法消噪、小波软阈值消噪、互相关系数消噪三种方法对比。(Gaussian white noise, Gaussian colored noise and pink noise have been processed to verify the validity of the algorithm. we also compared the proposed method with the correlation coefficient method and wavelet soft threshold noise reduction methods. the results show that the proposed method can be performed on a variety of signal noise reduction, which is better than the correlation coefficient method and wavelet soft threshold noise reduction methods.)