zhouxiangyinglifbgfanshepu

matlab编写GUI方面的书籍，从国外网站下载(matlab prepared GUI books, from abroad website)

MATLAB code describing adaptive filter

说明：  对输入的一有理Z变换表达式（输入分子和分母系数序列），分别画出： （1）零极点图 （2）z在单位圆上时z变换所对应的DTFT的幅度谱和相位谱 （3）逆z变换所得序列，在各种不同的收敛域下（包括了右边序列，左边序列和双边序列的情况） (the importation of a rational expression Z-transform (input coefficient of the numerator and the denominator sequence), respectively paint : (1) The pole-zero plan (2) z in the unit circle at z transform the X corresponding to the amplitude spectrum and phase spectrum (3) Inverse z transform sequences derived from the convergence of various jurisdictions (including the right sequence, the sequence of the left and bilateral series))

he power method will be applied to the jacobian matrix of the 2-D henon map to approximate the first Lyapunov exponent by creating a graph of ln|yn| vs. n, where n is the number of iterations of the power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an approximation to the largest Lyapunov exponent.(he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.)

在matlab环境下采用龙格库塔法解算的二维比例导引拦截仿真案例(proportional navigation trajectory )

in this project data is hiding by LSB stegnography the shifting opertor is used to shift the data

中值滤波的程序，程序中系统模板和自己的模板可选用，可直接运行(Median filtering program, program system template and the template can be selected, and can be run directly)

一本介绍在matlab下曲线拟合的好书，书中含有大量的实例。(An introduction under the curve fitting in matlab books, the book contains many examples.)

Twelve pulse converter for a single cycle of input twelve pulse will be available in output... simulation circuits..

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)