搜索资源列表
Multitaper
- 工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time
EmbeddingDimension_FNN
- 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序 文件夹说明： Main_FNN.m - 程序主函数，直接运行此文件即可 LorenzData.dll - 产生Lorenz时间序列 PhaSpaRecon.m - 相空间重构 fnn_luzhenbo.dll - 假近邻计算主函数 SearchNN.dll - 近邻点搜索 buffer_SearchNN_1.dll - 近邻点搜索缓存1 buffer_Search
AverageDisplacement
- 采用AverageDisplacement平均偏移法计算混沌时间序列的DelayTime的Matlab程序 -used AverageDisplacement average deviation method chaotic time series D Matlab procedures elayTime
wmtsa-matlab-0.2.6
- WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techniques presented in: Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis. Cambridge: Cambridge University Press.
UCos-II.core.analysis.Transplantation.and.Driver.D
- 《uC/os-II 内核分析.移植与驱动程序开发》随书光盘中的全部源代码，全部通过调试。书中介绍μC/OS-Ⅱ的内核分析、移植过程和驱动程序开发方法。书中首先以μC/OS-Ⅱ在8051系列单片机上的移植为例子，详细剖析μC/OS-Ⅱ的内核和移植过程；然后以串口通信为例，介绍如何为μC/OS-Ⅱ实时内核添加设备的驱动程序；最后介绍μC/OS-Ⅱ在数字信号处理器[DSP]上的移植，以使读者进一步加深对μC/OS-Ⅱ的理解。 -" UC/os-II core analysis. Transpl
DCHUFAQI
- 一个典型的时序元件D触发器的VHDL描述,希望对大家有帮助-A typical time-series components of the VHDL descr iption of D flip-flop
The_use_of_SPSS_and_Matlab_for_time_series_predict
- 简单的预测与案例教程，适合初学者用于学习预测原理和简单的matlab代码-failed to translate
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
ForcedPendulum
- This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
forecar_p
- Recursive stochastic forecaster k steps ahead of AR(p=>2) time series given initial value computation of stepwise dynamic multiplier is included. Ref: J.D.Hamilton, Time Series Analysis, Wiley, 1994. -Recursive stochastic forecaster k steps ahea
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
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
Xinying_Ph.D.thesis
- SUPPORT VECTOR MACHINE IN CHAOTIC HYDROLOGICAL TIME SERIES FORECASTING 支持向量机混沌时间序列预测-This research attempts to demonstrate the promising applications of a relatively new machine learning tool, support vector machine, on chaotic hyd
whittle
- code derived from the Matlab code for local Whittle estimation and exact local Whittle estimation of the memory parameter (d) in fractionally integrated (I(d)) time series.-code derived from the Matlab code for local Whittle estimation
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)
wmtsa-matlab-0.2.6
- 完整的极大离散小波变换MATLAB工具箱，附有程序的具体实例。可参考《时间序列分析的小波方法》 程正兴译-WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techniques presented in: Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Tim
Time-Series-Analysis-in-R-
- 时间序列分析及应用：R语言 （2011汉译版，英文第2版）随书程序与数据集及勘误表-Time Series Analysis with Applications in R by Jonathan D. Cryer and Kung-Sik Chan
G_P
- 时间序列的G_P算法,计算出序列的关联维数d，然后利用嵌入维数m>=2d+1，选取合适的嵌入维数。-G_P time series algorithm to calculate the correlation dimension d sequence, and then use the embedding dimension m> = 2d+1, select the appropriate embedding dimension.
LCS-Matlab-Kit-Version-1.0
- It enables users to input a time-series of 2-D velocity field data (e.g., DPIV measurements or CFD calculations) and compute the corresponding finite-time Lyapunov exponent (FTLE) fields, which Lagrangian Coherent Structures (LCS) suchas vo