devoir4_1

说明：  这是数模比赛里面的多雷达多目标数据融合代码，希望对大家有用~~(This is the Multi-radar data fusion multi-target code of Mathematical Model Competition,Hope to be useful~)

MIMO Source Number detection for multiple inputs and multiple outputs

《MATLAB信号处理超级学习手册》随书光盘， 《MATLAB信号处理超级学习手册》以MATLAB R2013a版本为基础，系统地讨论了数字信号处理的基本理论、基本分析方法、基本算法和设计方法，涉及了数字信号处理的各个方面，是一本比较全面的信号处理参考书。( MATLAB Signal Processing super study manual In MATLAB R2013a version of the basis, the system discussed in the basic theory of digital signal processing, the basic analysis methods, basic algorithms and design method involves all aspects of digital signal processing, it is a more comprehensive signal processing reference.)

置信度传播，优先权，patch填充，结构与纹理(confidience propagation)

一个老外写的文章，很不错，对以后学习核主元分析（KPCA）有帮助！(the paper was written by the foreigner，which is very useful and meaningful.)

利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results)

MATLAB code,做点扩散函数和核密度估计的

matlab实用程序，可以直接拷贝复制,主要是图像的处理(matlab code for use)

This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )

采用FIR最小二乘逆滤波器来实现反卷积 1.通过输入信号xn与传递函数gn求输出yn 2.通过使平方误差达到最小求出最佳延迟 3通过最佳延迟求得逆滤波器传递函数hn 4通过hn与yn进行卷积运算得到还原的输入信号xn1，进行对比 5按照题设要求，进行相关噪声添加，再次进行上述实验过程 (Using least squares FIR inverse filter to achieve deconvolution)