搜索资源列表
DFA_for_linux
- 随机信号处理Detrended Fluctuation Analysis方法的应用程序，采用c实现，linux环境，带makefile。-random signal processing Detrended Fluctuation Analysis of applications, using c realized, linux environment, with makefile.
DFAandDataReplace
- 计算Detrended Fluctuation Exponent(DFA)指数-calculated Detrended Fluctuation Exponent (DFA) index
Detrended fluctuation analysis
- 用Detrended fluctuation analysis研究海杂波时间序列
DFA_for_linux
- 随机信号处理Detrended Fluctuation Analysis方法的应用程序，采用c实现，linux环境，带makefile。-random signal processing Detrended Fluctuation Analysis of applications, using c realized, linux environment, with makefile.
DFAandDataReplace
- 计算Detrended Fluctuation Exponent(DFA)指数-calculated Detrended Fluctuation Exponent (DFA) index
MFDFAmethod
- 计算多重分形非趋势波动分析matlab程序-Calculation of non-multi-fractal detrended fluctuation analysis matlab program
C
- 本程序是用来计算消除趋势波动分析方法的C程序-This procedure is used to calculate the detrended fluctuation analysis method to eliminate the C program
DFA
- 本程序是用来解决消除趋势波动分析的MATLAB程序-This procedure is used to address the elimination of detrended fluctuation analysis of the MATLAB program
runDFA
- 本程序是用来计算去趋势波动分析的MATLAB程序的-This procedure is used to calculate the detrended fluctuation analysis to the MATLAB program
DFAQ
- This simple program calculates fractal scaling exponents for non stationary time series using Detrended Fluctuation Analysis.
Fraclab-1.0E
- Matlab中的MFDFA工具箱，非线性时序分析，预测，H指数，维度。-Muti-fractal Detrended Fluctuation Analysis (MFDFA) Toolbox in Matlab
MF-DFA
- 多重分形去趋势分析,用于分析时间序列信号，如心电、脑电信号的多重分形-Multifractal detrended analysis for the analysis of time series signals, such as ECG, EEG multifractal
DFA
- 实现去趋势波动分析，计算得到波动函数。分段时从两端分别开始避免丢失数据。-Detrended fluctuation analysis of implementation, the calculated wave function. Starting from the ends of the respective segments to avoid loss of data.
MDFA
- 实现滑动去趋势波动分析，程序内部有解释，在MDFA文件中可以改变相应的参数值，使结果更好。x中存放的是脑电信号，这里没有上传。可以根据需要，用这种方法处理不同数据。-Achieve sliding detrended fluctuation analysis, is explained within the program, the file can be changed in the MDFA the corresponding pa
ENTROY
- The dynamics of EEG entropy ,Abstract The scaling properties of human EEG have so far been analyzed predominantly in the fr a mework of detrended fluctuation analysis (DFA-The dynamics of EEG entropy ,Abstract The sca
DCCA
- 用matlab实现去趋势互相关分析的DCCA算法，将两组数据分析其协方差，最后得到DCCA指数，并进行T检验-DCCA algorithm using matlab detrended cross-correlation analysis, two sets of data to analyze the covariance last DCCA index, and T-test
DFA
- Detrended Fluctuation Analysis（非趋势波动分析法）的应用程序。-A applications of the Detrended Fluctuation Analysis
DFA
- DFA法是检验非平稳时间序列长期相关性的有效方法, 但当时间序列包含高阶趋势时, DFA方法在较 小标度上会产生偏差。-Detrended fluctuation analysis
MFXDMA
- 多重分形趋势互 分析法（MF-DCCA）方法可以用来量化这种交叉相关，例如 MF-选区基于趋势波动分析方法（MF-X-DFA）。-The multifractal trend analysis of each method (MF-DCCA) method can be used to quantify this cross-correlation, such as MF-constituency based on detren
armodle
- 计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。-Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.