MATLAB-audio-AGC

使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)

Monte Carlo算法的matlab实现，附其详细课件。(Matlab implementation of the Monte Carlo method, with detailed courseware.)

此程序为机器人位置正反解程序，可用此程序求出解析解(This procedure for robot location inverse solution procedures, use this procedure to derive analytical solutions)

HOUGH变换检测圆 MATLAB程序(HOUGH transform circle detection MATLAB program)

labview for example embrassion

This is a PDF file abut pattern clasification

四旋翼飞行器动力学建模及控制 基于matalb/simulink 的四旋翼飞行器建模(Four-rotor dynamics modeling and control)

kd树的实现，用到matlab(kd tree realization used Matlab)

说明：  神经网络设计的英文版教材，主要讲解各种神经网络的设计方法 (Neural network design of English teaching materials)

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)