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2下载：
ar模型的一个例子，详细描述了时间序列预测的步骤，且成功实现预测功能-ar model of an example of a detailed descr iption of the steps time series prediction and forecasting function successfully
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计算时间序列双谱的三维图和二维图，用于研究非线性过程非常管用！-Bispectrum calculation of three-dimensional time series graph and two-dimensional maps, used to study the nonlinear process is very useful!
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相空间重构程序！简单快捷，方便一组时间序列的相空间重构！-Phase space reconstruction procedure! Simple and quick, a group of time series to facilitate the phase-space reconstruction!
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基于Matlab的时间序列分析和动态数据建模
论文一篇 需要用CAJViewer查看-Matlab-based time series analysis and dynamic data modeling papers CAJViewer see a need to use
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lorenz系统分岔轨迹绘制，包含吸引子图，X,Y,Z相时间序列-lorenz draw bifurcation path, including the attractor graph, X, Y, Z-phase time-series
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基于MATLAB的ARIMA模型的源代码。ARIMA模型是自回归滑动平均求和模型，是时间序列分析模型，可以用于时间序列的预测。该代码实现了ARIMA模型的建模和谱分析过程-The ARIMA model based on MATLAB source code. ARIMA model is the sum of autoregressive moving average model is time series analysis models, can be used for time seri
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在matlab下时间序列分析ARMA模型的建立和预测程序ARMA-Under the matlab time series analysis and forecasting ARMA model procedures for ARMA
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计算K熵的matlab程序，适用于混沌中某一点三个方向的时间序列，在前人的基础上改编的- entropy matlab calculation procedures to apply to the direction of chaos in a 1.3 time series, based on the adaptation of our predecessors
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ECGSYN generates a synthesized ECG signal with user-settable mean heart rate, number of beats, sampling frequency, waveform morphology (P, Q, R, S, and T timing, amplitude,and duration), standard deviation of the RR interval, and LF/HF ratio (a measu
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利用RBF进行时间序列的预测，可用于故障诊断中的参数估计和预测-Use of RBF for time series prediction can be used for fault diagnosis of parameters estimates and projections
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使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
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毕业用的时间序列混沌分析，里面吧包含相空间重构，李雅普诺夫指数求取，小波去噪-Graduated with a chaotic time series analysis, which it contains the phase space reconstruction, Lyapunov exponent for wavelet denoising, etc.
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基于关联规则的股票时间序列趋势预测研究
硕士毕业论文-Based on Association Rules Stock Market Time Series Prediction Research Master Thesis
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GP算法计算时间序列想空间重构的最佳嵌入维数和延迟时间-GP algorithm space reconstruction time series like the best embedding dimension and delay time
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求解时间序列的K_entropy熵的MATLAB 程序，大家啊可以看看，希望对大家有帮助-Solving time series K_entropy Entropy MATLAB program, we can look at ah, I hope all of you will help
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只适用于时间序列的matlab下的分形维数计算的代码-Applies only to the time series under matlab fractal dimension calculation code
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Symbolic Representations of Time Series...
SAX is just as good as other representations, or working on the raw data for most problems (Slides shown at the end of this presentation)
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交互小波分析及其一致性分析，用于分析两个相关的时间序列之间存在的相互关系及一致性。-Cross-wavelet analysis and consistency analysis for the analysis of time series between the two related to the relationship between the existence and consistency.
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Autoregressive Markov Switching Model函数用于评估、仿真及预测自回归的马尔可夫转换模型。可以选择用于模型估计的分布函数。用于研究时间序列结构性变化，分析金融、股市乃至通货膨胀的研究-Autoregressive Markov Switching Model function for the assessment, simulation and forecasting autoregressive Markov switching model. Estimate
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This program calculates Approximate Entropy of a given time series. Approximate Entropy is a statistic which is used to predict the regularity in agiven time series. Apen( Approximate entropy ) is a recently developed method highly used in biomedical
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