PSKRecovery

非线性振动必备工具箱，里面有详细的步奏讲解,频谱分析，poincare截面，分岔图，李雅普洛夫图(onlinear vibration necessary toolbox, There are detailed explanations of the steps for spectrum analysis, poincare section, bifurcation diagram and lyapunov figure )

说明：  这是一个rs编码程序，希望能帮到大家，可以查漏补缺。(This is a rs coding procedures, I hope to help you, can leak filled.)

本程序用于寻找图像中的圆形，属于特征提取的类型(This procedure is used to find the image in the round, belongs to the type of feature extraction)

信号分析仪程序是有效的结合matlab语言与信号分析，形象直观的对所需分析的信号进行分析。(Signal analyzer matlab program is an effective combination of language and signal analysis, image analysis of visual signals to the required analysis.)

股票数据绘图, suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price( suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price)

Matlab code soving 2D heat conduction using FEA

matlab file for cample bozorgnaia 2004 attenuation code

各种加权函数后互相关功率谱的计算，比较，可用于定位系统的时延估计(After various weighting function cross-correlation power spectrum calculation, comparison, can be used for positioning system (GPS) time delay estimation)

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(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) generate three sets of observations data, first according to s (n) = as (n-1)+w (n) to generate a signal s (n), which add noise (SNR respectively 20dB, 10dB, 6dB), obtained observation data x1 (n), x2 (n), x3 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss changes affect L, N of the experimental results.)

各种LMS算法 包括变步长和归一化等，程序代码 参考！(bianbuchang LMS)