bisp3cum

计算机控制的matlab例程 自己做的关于课程的仿真程序(Computer-controlled matlab routines to do their own on the course of the simulation program)

数学建模清华数模讲义\model4b (Mathematical modeling Qinghua digital-analog handouts model4b)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

主要研究如何利用MATLAB语言来实现数字陷波器的设计的方法。(The design method of the main research how to use MATLAB language to realize digital notch filter. )

说明：  声全息技术，里边包括全息技术的matlab程序，数据等。(Sound holographic technology, including holographic technology matlab procedures, data, etc.)

广义霍夫变换边缘提取代码，目标是针对图像中某一标识，进行识别和提取(Generalized Hough transform edge detection code, the goal is for the image of a logo, to identify and extract)

Least squares solution of Ax=b.

这是《Space-Time Codes and MIMO Systems》书中第二章的源程序，包括mimo信道模型，遍历容量，中断容量以及发射端或接受端具有相关性等程序。(This is the " Space-Time Codes and MIMO Systems" source book, the second chapter, including mimo channel model, ergodic capacity, the outage capacity and the transmission side or the receiving end of relevant procedures.)

gui界面，读取xlsx中特定sheet，sheet中最后一列为y，前n列为x1-xn，线性拟合为y=b0+b1x1+...+bnxn，显示公式和残差的标准差(The GUI interface reads the specific sheet in xlsx, the last row in sheet is y, the former n is x1-xn, and the linear fitting is y=b0+b1x1+ (+bnxn), showing the standard deviation of formula and residuals.)

说明：  一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高(An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved)