fifth

本程序可以完成功率谱估计中，ARMA模型的阶数估计(This procedure can be completed in the power spectrum estimation, ARMA model order estimate)

说明：  《matlab语言常用算法程序集》源代码第四章(&quot Matlab common algorithms assembly language&quot source code, Chapter IV)

Bayesian网络工具箱.(Bayesian network toolbox.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

抛物方程能够快速对大区域电波传播特性做出预测，目前已经得到了广泛的应用。压缩包里给出了二维抛物方程的matlab程序(The parabolic equation can quickly predict the propagation characteristics of large region waves. It has been widely used at present. In this paper, a two-dimensional parabolic equation program is given in this paper.)

输入一个您需要判断的数，然后通过程序判断数的大小类别(judge the number you input)

关于迭代学习的比较好的文章，迭代学习在间歇过程中的控制研究(Good article on the iterative learning)

应用于图像、文字修复还原，可有效复原原文件，欢迎下载！(Applied to the image, text repair reduction, which can effectively recover the original file, welcome to download!)

Describe: doa estimated classical music used to construct simple incident signals, using seven antenna reception of signals for DOA estimated.

State estimater matlab file