tf_block

说明：  matlab的遗传算法实现，学习的好帮手(matlab genetic algorithm, learning a good helper)

说明：  pca降维 在pca提取vd后可以利用降维进行更加简便的操作(pca pca extraction vd dimension reduction in the dimensionality reduction can be used after a more simple operation)

本文采用Fibonacci算法计算已知式子的最值并找到此时自变量的值(In this paper, formula known Fibonacci algorithm to find the best value and the value of the independent variables at this time)

粒子群做非线性模型的参数估计，已检测很好用(nonlinear parameter estimation)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

Kalman Filter based Tracking Matlab Code

粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波(PF EKF UKF PF EKF UKF PF EKF UKF)

说明：  双音频按键识别 背景： 打电话拨号时，每次按键会发出不同的声音，这些声音实际上是由一些固定频率的正弦信号合成的。因为每个按键声音包含两个不同频率的正弦信号，因此也被称为“双音频”信号，简记为DTMF。这相当于是对不同键位用‘音频’进行了编码，如同计算机领域中用数字0和1对处理对象（包括键盘）进行编码。(Two-tone buttons identify Background: When you call dial, each key emits different sounds, which is actually made up of some fixed frequency sinusoidal signal synthesis. Because the sound of each key contains two sinusoidal signals of different frequencies, it is also known as &quot two-tone&quot signal, abbreviated as DTMF. This is equivalent to different keys using the ' audio' encoded, as the computer industry with the numbers 0 and 1 pair of processing object (including the keyboard) to be encoded.)

说明：   根据运动合成原理建立了轻质杆在斜抛(包括竖直上抛)运动中质心和端点的运动方程，用动画演示了质心的斜抛运动和两个端点的运动轨迹，并显示了杆在一定时刻的位置。(Established in accordance with the composite theory of the movement in oblique light pole throw (cast on the vertical) movement of the centroid and the equation of motion of the endpoint, animation demonstrates the trajectory of the centroid of Projectile Motion and the two endpoints, and shows the lever in a certainthe location of the moment.)

FULL REPORT OF DPFC SIMULATION...