readtbl

求解常微分方程的初值问题的常用的matlab程序(Ordinary Differential Equations Initial Value Problem)

LMS自适应算法 自适应横向滤波器两个权值，输入随机信号r（n）的样本间相互独立，且它的平均功率为Pr =E[r2(n)]=0.01，信号周期为N=16个样点。求最佳权向量解ω0和收敛因子μ的取值范围，并分别汇出ω(0)=[0 0]T，μ=0.1及ω(0)=[4 -10]T，μ=0.05时，两种情况下的权值变化轨迹和第一种情况下误差e(n)与迭代次数n的关系曲线。(LMS adaptive algorithm The right value of the change trajectory)

这是一个拉普拉斯系统分析仿真的Systemview源代码。(This is a Laplace System Simulation Systemview source code.)

Harmonic detection window

c语言环境下用Welch平均法对信号 作功率谱估计(c language environment with Welch averaging method for power spectrum estimation of signals)

说明：  LVQ神经网络的预测，可以用来进行人脸识别(lvqnetwork，a important kind of network)

《数字图像识别技术典型案例》第三章基于matlab的指纹识别系统("Digital Image Recognition Technology typical cases" based on the third chapter of Matlab Fingerprint Identification System)

二进制dpsk matlab实现仿真程序(dpsk modulation)

XO game using Neural Network

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)