sqr2

This a PPIM meshfree code have been developed for curve fitting problems. this archive contains Matlab subroutines

matlab语言基本规则介绍，包括变量定义，数组声明，循环遍历等(The basic rules of the matlab language introduction, including variable definitions, array declaration, loop through)

基于MatLAB的图像的局部增强。采用梯度比较，将暗的区域变亮(local enhancement)

ＣＡＰＭ模型的Matlab实现程序。用于计算最优证券组合的配置和权重。(CAPM model of Matlab procedures. Used to calculate the optimal portfolio configuration and weight.)

Control code for matlab versions prior

采用k空间方法仿真超声声场及光声、剪切波传播等的专用matlab工具箱程序包，能模拟非均匀介质情况下的波动传播情况，功能强大，-k-wave toolbox for ultrasound simulation . (K-space method using ultrasonic sound field simulation and photoacoustic, shear wave propagation matlab toolbox, such as special packages that can simulate wave propagation in inhomogeneous media situation in case, powerful,-k-wave toolbox for ultrasound simulation.)

lab programs for advanced communication experiments using matlab

该程序提供了多种参数的双指数脉冲函数的波形及其频谱分解图，要注意的是作图时坐标比例尺的调整。程序中给出的是1.2/50μs和0.7/60ns两种波形可直接使用的坐标比例尺。 在MATLAB5.0下就能工作。 (The program provides a wide range of parameters of double-exponential pulse function waveform and its spectral decomposition diagram, it should be noted that when mapping coordinates scale adjustments. Procedure is given in 1.2/50μs and 0.7/60ns two waveforms can be directly used the coordinates of scale. Will be able to work under in MATLAB5.0.)

Detector de tono DTMf

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.)