ARIMA Model Implementation in MATLAB for Time Series Analysis and Forecasting

Implementation of ARIMA models in MATLAB for analyzing and forecasting time series data with code examples and algorithm explanations

Estimating Approximate Entropy for EEG Signals and Time Series Data

Methods for calculating approximate entropy in EEG signals or time series data with algorithm implementations and code considerations

MATLAB Implementation of Wavelet Networks for Time Series Prediction

A wavelet network source code implementation using C++/VC++, designed for training and predicting time series data through wavelet decomposition/reconstruction and neural network optimization algorithms.

Hurst Exponent Calculation Program Guide

Hurst Exponent Calculation Program Guide: Begin by importing time series data, then proceed with computational steps. The process involves data segmentation, range analysis, and logarithmic plotting to derive the long-term memory characteristic.