01618938

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

Download Now: Title: 802.11b PHY MATLAB Code Author: Stuart McGarrity Summary: 802.11b PHY MATLAB Code. MATLAB Release: R13 Required Products: Communications Toolbox,Signal Processing Toolbox Description: BER simulation of DBPSK, 1Mbps mode of 802.11b. Assumes perfect synchronization. Should work in earlier releases. (Download Now: Title: 802.11b PHY MATLAB Code Author: Stuart McGarrity Summary: 802.11b PHY MATLAB Code. MATLAB Release: R13 Required Products: Communications Toolbox, Signal Processing Toolbox Description: BER simulation of DBPSK, 1Mbps mode of 802.11b. Assumes perfect synchronization. Should work in earlier releases.)

说明：  修改视图图标及标题,能够让程序员使用自己设定的标题及图标(Edit View icon and title, allowing programmers to use their own title and icon set)

实现多小波变换的MATLAB工具箱库函数(multi-wavelet transform MATLAB Toolbox library functions)

利用matlab处理图像，分别用高斯滤波，均值滤波和中值滤波，对同一个噪声图像处理及得到结果(Using matlab image processing, respectively, with a Gaussian filter, mean filter and median filter, image processing on the same noise and get results)

DOA估计两种子空间方法，MUSIC和ESPRIT算法，并分析了各参数对算法性能的影响。(Two subspace DOA estimation method, MUSIC and ESPRIT algorithm, and the influence of various parameters on the performance of the algorithm.)

its a pzgui file for matlab coding

System passenger turns giving agencies

辛格模型及扩展卡尔曼滤波器，有效解决非线性目标跟踪问题。(Singer model and EKF filter, which provided solution to non-linear target tracking problem. )

Estimation for Functional Generalized Linear Models