power-spectrum-density-estimation

matlab下傅里叶变换的程序例程，是pdf的(under the Fourier transform matlab routine procedure is the pdf)

两个正弦信号叠加白噪声 用fft进行频谱分析(failed to translate)

这是关于mathlab软件使用的一些入门级教程，对mathlab初学者有一定的帮助。(This is an entry-level course about the using of mathlab , it may have some help for mathlab beginners .)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

Matlab 常用图像处理,包括图像相除、相乘、灰度线性变换、图像增强、降噪(matlab Common image processing, including image division, multiplication, gray linear transformation, image enhancement, noise reduction)

《MATLAB神经网络30个案例分析》中的第24个例子，案例24 模糊神经网络的预测算法-嘉陵江水质评价。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 24 example, 24 cases of fuzzy neural network prediction algorithm- jialing river water quality assessment. Hope to have certain help to everybody! )

MUSIC angle of arrival estimation algorithms

利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, and realizing PCA SVM compressed image, MATLAB language)

分析了该信号的时域、频域、倒谱，循环谱等,有较好的参考价值，考虑雨衰 阴影 和多径影响。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. There are good reference value, Consider shadow rain attenuation and multipath effect.)

功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )