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Volterra_MultiStepPred_luzhenbo
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlineariti
vc调用matlab
- 将一个m文件转成c /cpp文件并在VC中进行编译。这种方法有个烦人的地方，每次你都需要把matlab生成的一 大堆c和h文件考到vc中，比如我读入一副图片先做膨胀，再腐蚀，再进行小波变换，最后 显示。这样一个程序会生成大概150多个文件，每次都要拷贝这些文件很不方便。我试着用 了另外一种方法，可以简化这些工作。那就是不生成cpp文件交给VC去编译，而是直接在m atlab中生成一个dll交给VC去链接即可。这样无论matlab生成多少文件，都只需要拷贝三 个文件即可。 -m to a docu
steepest_descent_method
- 采用最速下降法查找最小值，采用H终止准则，计算时间很快，很适合初学者使用-Steepest descent method using the minimum search using H termination criteria, the computation time soon, it is suitable for beginners to use
lyapunov
- Lyapunov exponent calcullation for ODE-system. The alogrithm employed in this m-file for determining Lyapunov exponents was proposed in A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physi
time.h
- 头文件 ”time.h” 下的函数： Clocl_t和tine_t都可以将系统的时间和日期标示为长整形。 结构类型 tm 保存分解的日期和时间元素。 Tm的结构定义如下： -Header file " time.h" function under: Clocl_t and tine_t can the system time and date indicated for the long plastic. Decomposition structure type
findlyap
- The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 1
NNET
- BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm. The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Desig
Main
- The recursive function H(T) Calculate the Expected number of failures in (0,T], for Weibull distribution Assumption: T s unit is a day, the smallest time unit.
differential-Detection-for-diversity
- 差分空时传输分集的两篇重要文档仿真： 1. V. Tarkh and H. Jafarkhani, “A differential Detection scheme for transmit diversity,”；2. S. M. Alamouti, “A simple transmitter diversity scheme for wireless communications,” 。 关键词：差分；空时；协同；分集；MATLAB仿真-Differential space-t
HoneycombPattern_new
- 函数HoneycombPattern在已知矩形窗内绘制蜂窝状图案 参数说明： L为正六边形边长，默认10 H为1*2的向量，H(1)和H(2)分别代表待填充矩形的x和y方向的边长,默认[100 100] 若H输入为1*1尺寸，则默认为边长为H的正方形 返回值为所有六边形的顶点横纵坐标 调用举例： HoneycombPattern_new HoneycombPattern_new(5) HoneycombPattern_new(1,[50 40]
HControllerdesign-based-lmi
- It is a program for State Feedback H Controller design for continuous time system based lmi approach.-It is a program for State Feedback H Controller design for continuous time system based lmi approach.
equalizer_design
- Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a conv
Diffusion-system-of-concentration-
- 扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→
re
- LMI 实例H∞ state feedback control for generalized continuous/discrete time-delay system☆-LMI CONTROL TOOLBOX
RS
- 通过RS分析计算hurst指数，可以直接计算整个时间序列，或者小波分解后各阶的H值。-Hurst index calculated by the RS analysis. It can calculate the H value of the time series directly , or after wavelet decomposition .
H-02prgrams
- matlab code for averaging data time series
ConvolveByRiemannSum
- ConvolveByRiemannSum assumes that x(t) and h(t) have finite support, and that the user provides samples of these functions in two vectors, x and h. These vectors contain samples of x, sampled at time points given in vector tx = tx_min:Delt
rossler2
- Rossler equation A. Wolf, J. B. Swift, H. L. Swinney and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985.-Rossler equation dx =-y- z dy = x+ a*y dz = b+ z*(x-c)
circonv
- 时域序列x 和 h 的N点循环卷积子程序，用于matlab仿真调用-Time domain sequence x and h N-point circular convolution subroutines for the call of matlab simulation
test
- 先生成这样的一幅500*500的RGB彩色图像：一个田字格，左上和右下是绿色，右上是红色，坐下是蓝色。并进行如下处理：（a）将该图像转换到HSI空间，用25*25的平均模板模糊H分量图像，再转换回RGB空间；（b）重复（a），只是这次处理的是S分量。最后简单分析结果。（内含实验报告） -Mr. into a 500* 500 RGB color image: a field word lattice, the upper left and lower right is green, the