搜索资源列表
marple
- 实现时间序列建模的marple算法，具体操作程序里有提示-Achieve time-series modeling marple algorithm, specific procedures have prompted
Commonly_used_meteorologica_package
- 气象保障常用软件包:本书分为10章，包括客观分析、诊断分析、多元统计分析、主分量分析、自适应统计天气预报方法、时间序列分析、谱分析、人工神经网络天气预报方法、灰色系统及气象绘图软件等内容。 Fortran代码写在word文档中。-Commonly used meteorological package: This book is divided into 10 chapters, including an objective analysis, diagnostic analysis, mult
wtc-r12
- 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.
q
- GM（1，1）模型程序 可用于一般时间序列预测-GM (1,1) model program can be used for general time series prediction
makefuyuce
- 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
ipf
- 这是一个时间序列的高通滤波matlab函数！-This is a time series of high-pass filter function matlab!
Duffing_Reconstruction
- DUFFING方程的混沌时序相空间重构程序-DUFFING equation phase space reconstruction of chaotic time series procedures
Rossler_Reconstruction
- ROSSLER方程的混沌时间序列相空间重构程序-Equation ROSSLER chaotic time series phase space reconstruction procedure
neurospec20
- 非常全面的生物信号分析工具包，能够详细分析信号时域频域、相位等特性，针对于生物信号有良好效果。-an excellent signal processing toolbox, it could give a detailed analysis on time series, frequency and phase. it is really useful on biomedical signal processing.
apen
- 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
C-CDocument
- 对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。-Of chaotic time series phase space reconstruction method
ChaosToolbox2p0_trial
- 用matlab编程产生非线性动力系统的时间序列，并对序列做各种分析-Matlab programming with non-linear dynamical systems have time-series, and do all kinds of sequence analysis
ts
- 时间序列分析与预测方法的文字介绍，一个幻灯片-Time series analysis and forecasting methods to introduce
SVMbasedchaotictimeseriesanalysis
- 基于SVM的混沌时间序列分析 把SVM优化算法用于混沌时间序列分析 可以得到优于一些方法的结果-SVM-based chaotic time series analysis of the SVM optimization algorithm for chaotic time series analysis methods can be superior to the results of
OpenTSTOOL1_02
- 用于非线性时间序列分析的软件包。可用于计算：时间延迟重构，分形维数，互信息，Lyapunov指数，替代数据集，最近临点统计，回归时间，庞加莱截面，非线性预测-TSTOOL is a matlab software package for nonlinear time series analysis. TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov exponents, Fractal dimensions
keypoint
- 自己编写的实现时间序列中的关建点搜索，在相似搜索和分类特征提取中常用,程序中有详细说明-achieve to find out the key point of time series ,it often to be used in similarity search and classification
timeseries
- sas 时间序列，用于对内蒙古自治区第三产业增加值的预测用程序。很精简、基本一看就懂。推广性好。-sas time series, for the added value of tertiary industry in Inner Mongolia Autonomous Region of the forecasting process. Very simple and basic one look to understand. To promote good.
rmlinesc
- 要求信号为连续记录的时间序列，本程序可以去除连续信号记录时所带的工频干扰-Request signal for the continuous time series records, the procedures for signal recording can be removed when brought about by the power-line interference
lorenz_ext
- m为嵌入空间维数 tau为时间延迟 data为输入时间序列 N为时间序列长度 X为输出,是m*M维矩阵- M for the embedding space dimension tau is the time delay for the input data time series N for the time series length of X to output, is m* M-dimensional matrix
zhishu
- 指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。-Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of