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Description: 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 t, t=1, ..., N
I(t) = 0 if there is a gap at time t
output: X = N-by-p vector of the reorthogonalized sine taper-engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper
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Size: 1500852 |
Author: 峰 |
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Description: 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_SearchNN_2.dll - 近邻点搜索缓存2
参考文献：
M.B.Kennel, R.Brown, H.D.I.Abarbanel. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Phys. Rev. A 1992,45:3403.
-false neighbors (False Nearest Neighbor, FNN) calculation embedding dimension of the Matlab program folder : Main_FNN.m-procedure main function, Direct operating this document can be LorenzData.dll-time series produced Lorenz PhaS paRecon.m-phase space reconstruction fnn_luzhenbo.dll-calculated at the main function neighbors SearchNN.dll-point search buffer_SearchNN_1.dll neighbor - Search neighbor point a buffer_SearchNN_2.dll Cache-Cache Search neighbors point two reference Literature : M. B. Kennel, R. Brown, H. D. I. Abarbanel. Determining embedding dime nsion for phase-space reconstruction using a g eometrical construction [J]. Phys. Rev. A 1992 , 45:3403.
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Size: 100029 |
Author: 呆雁 |
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Description: 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
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Size: 4209 |
Author: baozi9 |
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Description: 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.
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Size: 2130454 |
Author: 黄同成 |
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Description: 针对时间序列的复杂性测试，实现近似熵算法，可以分析确定信号和随机信号-time series against the complexity of testing, achieving approximate entropy algorithm, can be analyzed to determine signal and random signals
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Size: 1024 |
Author: 魏娜 |
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Description: Lmail.Dll发邮件控件的特点：
1、将文件分断发送，理论上可以发送N兆大小的文件。
2、实时编码，边编边发，传送速度快。
3、提供进度条实时跟踪。
4、具有群发功能，可以一次性发送多个收件人、抄送人，密送人。
5、可以设置请求收件人回执。
6、能生成发送日志，便于跟踪SMTP错误。
7、为COM组件，支持VFP、VB、VC、DELPHI、PB。还支持 ASP网页编程。
-Lmail.Dll mail component characteristics : 1 to document sent off, it could theoretically send N Katherine size documents. 2, real-time coding, while series edge hair, transmission speed. 3, provide real-time tracking of progress. 4, with the mass function can be sent over a single addressee, copied, close friends. 5, set the request of the addressee acknowledgment. 6, can generate this log to facilitate tracking SMTP error. 7, COM support VFP, VB, VC, Delphi, PowerBuilder. The website also support ASP programming.
Platform: |
Size: 43008 |
Author: li |
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Description: 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 t, t=1, ..., N
I(t) = 0 if there is a gap at time t
output: X = N-by-p vector of the reorthogonalized sine taper-engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper
Platform: |
Size: 1500160 |
Author: 峰 |
Hits:
Description: 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_SearchNN_2.dll - 近邻点搜索缓存2
参考文献：
M.B.Kennel, R.Brown, H.D.I.Abarbanel. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Phys. Rev. A 1992,45:3403.
-false neighbors (False Nearest Neighbor, FNN) calculation embedding dimension of the Matlab program folder : Main_FNN.m-procedure main function, Direct operating this document can be LorenzData.dll-time series produced Lorenz PhaS paRecon.m-phase space reconstruction fnn_luzhenbo.dll-calculated at the main function neighbors SearchNN.dll-point search buffer_SearchNN_1.dll neighbor- Search neighbor point a buffer_SearchNN_2.dll Cache-Cache Search neighbors point two reference Literature : M. B. Kennel, R. Brown, H. D. I. Abarbanel. Determining embedding dime nsion for phase-space reconstruction using a g eometrical construction [J]. Phys. Rev. A 1992 , 45:3403.
Platform: |
Size: 99328 |
Author: 呆雁 |
Hits:
Description: 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
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Size: 4096 |
Author: baozi9 |
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Description: 介绍了TMS320C64X系列DSP内部Turbo码协处理器（TCP）的结构和算法。给出了使用TCP实现符合3GPP协议的Turbo译码的程序流程，实现了一种使用中断服务程序控制的高校处理流程，最后给出了TCP译码性能与处理时延的硬件实现结果，并做出了一定的分析-TMS320C64x series DSP introduce the Turbo code internal coprocessor (TCP) structures and algorithms. Realize the use of TCP is given in line with the 3GPP agreement Turbo decoding process flow to achieve a break in service use of colleges and universities deal with flow control, and finally gives the TCP decoding performance and hardware implementation of the deal with time-delay results, and to do a certain amount of analysis
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Size: 226304 |
Author: ynhuyong |
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Description: 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.
Platform: |
Size: 2129920 |
Author: 黄同成 |
Hits:
Description: 《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. Transplantation and Driver Development" book with CD-ROM of all the source code, all through the debugger. Introduce the book μC/OS- Ⅱ core analysis, the transplanting process and driver development methodology. ΜC/OS- Ⅱ first book in the 8051 Series single-chip on the transplant as an example, a detailed analysis of μC/OS- Ⅱ core and transplantation process then to serial communication as an example, how to introduce μC/OS- Ⅱ Add real-time kernel device driver introduction Finally μC/OS- Ⅱ in the digital signal processor [DSP] on the transplant, in order to enable the reader to further deepen the understanding of μC/OS- Ⅱ.
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Size: 2308096 |
Author: iceyfire |
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Description: 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 description of D flip-flop
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Size: 18432 |
Author: 谭海洋 |
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Description: 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
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Size: 49152 |
Author: youli |
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Description: 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," Physica D, Vol. 16, pp. 285-317, 1985.
For integrating ODE system can be used any MATLAB ODE-suite methods.
This function is a part of MATDS program - toolbox for dynamical system investigation
See: http://www.math.rsu.ru/mexmat/kvm/matds/
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Size: 4096 |
Author: b |
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Description: 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 + sin(theta)
Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method.
Chaos can be seen for Q=2, omega_d=w/3.
The program outputs to Matlab time, theta(time) & omega(time).
Plot the phase space via:
plot(mod(theta+pi, 2*pi)-pi, omega, . )
Plot the Poincare sections using:
t_P = (0:2*pi/omega_d:max(time))
plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . )
System is described in:
"Fractal basin boundaries and intermittency in the driven damped pendulum"
E. G. Gwinn and R. M. Westervelt
PRA 33(6):4143 (1986)
-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+ sin(theta)
Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method.
Chaos can be seen for Q=2, omega_d=w/3.
The program outputs to Matlab time, theta(time) & omega(time).
Plot the phase space via:
plot(mod(theta+pi, 2*pi)-pi, omega, . )
Plot the Poincare sections using:
t_P = (0:2*pi/omega_d:max(time))
plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . )
System is described in:
"Fractal basin boundaries and intermittency in the driven damped pendulum"
E. G. Gwinn and R. M. Westervelt
PRA 33(6):4143 (1986)
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Size: 8192 |
Author: Mike Gao |
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Description: 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.
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Size: 2048 |
Author: 郑坤 |
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Description: 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 hydrological time
series forecasting. The ability to achieve high prediction accuracy of any model is one
of the central problems in water resources management. In this study, the high
effectiveness and efficiency of the model is achieved based on the following three
major contributions.
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Size: 1556480 |
Author: |
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Description: 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
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Size: 234496 |
Author: 陈昌春 |
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Description: J.D. Hamilton, (1994) Time series analysis
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Size: 32361296 |
Author: srikantakundu |
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