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Search results for matlab time series

42 search results found

Highly comparative time-series analysis

Bayesian Change-Point Detection and Time Series Decomposition

Systemicrisk ⭐ 111

A framework for systemic risk valuation and analysis.

Npyviewer ⭐ 104

Load and view .npy files containing 2D and 1D NumPy arrays.

Kshape Matlab ⭐ 51

Matlab implementation for k-Shape

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Quandl's Matlab module

Vmd Mfrfnn ⭐ 39

Hydrosight ⭐ 38

Groundwater timeseries analysis of hydrographs

Genhurst ⭐ 35

Calculates the generalized Hurst exponent of a time series

Lipd Utilities ⭐ 26

Input/output and manipulation utilities for LiPD files in Matlab, R and Python

Curso De Matlab ⭐ 25

Cnn Timeseries ⭐ 23

Use CNN to classify time series data for activity recognition

Dyngenie3 ⭐ 18

Semi-parametric approach for the inference of gene regulatory networks from time series of expression data

Het_agents_bayes ⭐ 16

Estimation of heterogeneous agent models using both macro and micro data

Time Series Prediction Narx ⭐ 16

The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling testing on buses

Algorithm for COntinuous monitoring of Land Disturbance (COLD) using Landsat time series. It can detect many kinds of land disturbance continuously as new images are collected and provide historical land disturbance maps retrospectively.

Espresso ⭐ 14

Entropy and ShaPe awaRe timE-Series SegmentatiOn forprocessing heterogeneous sensor data

xDF estimates variance of Pearson's correlations among highly autocorrelated time series.

Delay_embedding ⭐ 13

Delay embedding for time series modeling and classification

Randomwarpingseries ⭐ 13

RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, clustering, and regression.

Prediction Using Bayesian Neural Network ⭐ 13

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Pupil Size ⭐ 12

Matlab scripts for preprocessing pupil size timeseries

Peer Group Analysis Clustering ⭐ 12

Unsupervised Clustering of Time Series using Peer Group Analysis PGA

Timeseriesgeneration ⭐ 12

Generating time series from a range of dynamical systems

Time Series Analysis ⭐ 10

This is the github repository containing the four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.

MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

Harmonic_analysis_of_time_series ⭐ 9

Harmonic analysis of time series in python

Phase Coherence For Python ⭐ 9

Function to calculate consistency of phase at a given frequency across measurements

Matlab and Python scripts for calculating functional coupling between time series data

Analyze complex and noisy time series with particular emphasis given to seismoacoustic MERMAID signals

A framework for detecting misreported returns in hedge funds.

Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.

python tools for interactive post-processing of roi_pac files

Fast Permutation Entropy ⭐ 7

MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows

Imputation of Missing Values in Time Series with Lagged Correlations

Policy_cnfctls ⭐ 6

Using policy shocks to construct systematic policy rule counterfactuals

Activity analysis toolbox for Matlab

Convergent Cross-Mapping

Entropyhub.jl ⭐ 6

An open-source toolkit for entropic time series analysis

Kawashima_et_al_cell_2016 ⭐ 5

This is a repository for algorithms used in the paper Kawashima et al., Cell, 2016.

Meica_tool ⭐ 5

Useful for making plots from MEICA

Insurgent Dynamics ⭐ 5

A hybrid system dynamics-time series method for conflict analysis using GDELT

This MATLAB toolbox contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. This toolbox is free of external dependencies, and contains calls for both the statistical a

Matlab Functions For Complexity Measures Of One Dimensional Signals ⭐ 5

The following set of functions allow users to calculate various complexity measures for a one-dimensional time series.

Granger Causality Analysis ⭐ 5

Using GC analysis to explore the effective connectivities

Sawd_gcvs ⭐ 5

MATLAB implementation of gait cycle validation and segmentation using inertial sensors.

Time Series Classification Utility

Simulink Underwater Robotics Simulator ⭐ 5

Nonfractal ⭐ 5

MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity

Guided_motif_search ⭐ 5

Time series motif discovery with users' biases

Implementation of Authentication Scheme using Gait Signals Captured from Accelerometer (SECRYPT'15)

Matlab application that finds main frecuency from seismic timeseries acceleration data using SH/SV Stockwell Transform/Nakamura method

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