Chapter-10the-nonlinear-equations

一个BP神经网络的matlab仿真，经过训练的神经网络可以识别人脸的方向(A BP neural network matlab simulation, neural network trained to identify people face the direction of)

基于圆形比的圆的识别程序，使用matlab编制，简单易懂(Based on the ratio of a circle round the identification procedures, the use of matlab prepared, easy-to-read)

基于MATLAB的数字信号处理的电子书，本人认为不错，可以慢慢的研究(MATLAB-based digital signal processing of e-books, I think that is true, you can study slowly)

Lorenz系统的分叉图,短小精悍的程序(bification of Lorenz)

说明：  通带滤波，用滤波法进行通带滤波，处理手段先进(tongdailvbo)

SER calculation for OFDM

在Matlab对FDTD进行仿真，并对一维，二维及三维电磁传播环境分别编写了程序(On the FDTD simulation in Matlab, and the one-dimensional, two-dimensional and three-dimensional electromagnetic propagation environment programs were prepared)

用于求解多个信号源波达方向的求根MUSIC算法,不需要进行二维谱峰搜索(Root MUSIC algorithm for solving multiple sources DOA and calculation is greatly reduced than the MUSIC algorithm )

基于matlab的微粒群优化算法解决多目标的问题。(Matlab-based particle swarm optimization algorithm to solve the multi-objective problem.)

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)