zhouduichen

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

images of fishes for claassifyication

这是一个低通抽样定理，例题中包括了低通信号的波形，抽样速率为4Hz的抽样信号，抽样序列恢复出原始信号(This is a low-pass sampling theorem, examples included in the lowpass signal waveform, the sampling rate is 4Hz sampling signal to recover the original signal sample sequence)

first order sliding mode control

for some reason the last part is id, which i don t want and the parts seem to be in the reverse order the one in which we find the data itself.

matlab code for digital signal processing

前后向平滑， music 主要包含经典music算法实现原理及其代码，然后在此基础上介绍了前后向平滑算法的实现及其代码和仿真结果(forward/backward spatial smoothing，MUSIC Consists mainly of classical music algorithm theory and its code, and then on this basis introduced before and after smoothing algorithm and code and simulation results)

桁架结构源代码 请大家相互转告 分享下载 ( 桁架结构源代码)

说明：  MATLAB Sa 信号采样 与重构 信号与系统(MATLAB)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)