LP

动态矩阵预测控制DMC算法的matlab程序，单输入单输出的。(Dynamic Matrix Predictive control the DMC algorithm of matlab program, single-input single-output.)

《MATLAB程序设计教程》源代码-2660()

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 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， LMS法时H(n)的在叠代过程中的轨迹曲线。 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；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。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)

QPSK通信系统仿真，有所有的代码，课程设计或者实验可以参考(QPSK communication system simulation, there is all the code, curriculum design or experiment can refer)

包含四种常见分布的杂波仿真程序。均采用相干相关模拟的方法，方法见word文档。(Distribution contains four common clutter simulation program. Are related to the coherent simulation method, the method see the word document.)

说明：  最小局方误差的语音增强方法，MMSE的最原始应用方法，比较经典的哦入门算法(Minimum error of the Bureau of speech enhancement, MMSE application of the most primitive methods, comparing the classic Introduction to Algorithms oh)

分水岭分割在matlab下实现，希望大家多提意见。(watershed segmentation in Matlab achieve, we hope to do so.)

调制:对每个空间流分别进行调制，输入分别为每个空间流的所有6760列、调制类型，输出结果为2行3380列复数。(Modulation: separately for each spatial stream are modulated, respectively, for all the input 6760 of each of the spatial streams, modulation type, the output of the second row 3380 complex.)

In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple structure and fast convergence speed. The adaptive learning law of orthogonal neural network is derived to guarantee that the adaptive weight errors and tracking errors are bound by using Lyapunov stability theory. Simulation results are given for a two-link robot in the end of the paper, and the control scheme is validated.

文件是经典卡尔曼算法matlab实现代码，包括线性卡尔曼滤波，扩展卡尔曼滤波，无迹卡尔曼滤波等，初学者有福啦~~(The code is mainly for kalman alogrithm by matlab,including linear kalman,expanding kalman,unscented kalman.it s very helpful for the green_hand about them.)