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Search results for matlab series
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series
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46 search results found
Hctsa
⭐
665
Highly comparative time-series analysis
Beatthebookie
⭐
468
Betting Strategy to Beat the Bookies at Football Games
Rbeast
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147
Bayesian Change-Point Detection and Time Series Decomposition
Acycle
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70
Acycle: Time-series analysis software for research and education
Ccdc
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43
Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.
Genhurst
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35
Calculates the generalized Hurst exponent of a time series
Gaitoraid
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26
Usage of gait information to establish identity of a person in traffic cameras
Lipd Utilities
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26
Input/output and manipulation utilities for LiPD files in Matlab, R and Python
Deep Learning For Object Detection Yolov2
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24
Code Files for "Deep Learning for Object Detection" video series
Cnn Timeseries
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23
Use CNN to classify time series data for activity recognition
Mvgc1
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21
The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.
Khiva Use Cases
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19
Khiva use-cases
Xdf
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14
xDF estimates variance of Pearson's correlations among highly autocorrelated time series.
Espresso
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14
Entropy and ShaPe awaRe timE-Series SegmentatiOn forprocessing heterogeneous sensor data
Randomwarpingseries
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13
RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, clustering, and regression.
Delay_embedding
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13
Delay embedding for time series modeling and classification
Fly Trajectory Mining
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12
A fighter fly out trajectory time series data mining demo, I use agnes and k-means to clustering the flyout data samples into left, straight and right categories. This app includes a fly out trajectory generation program which was developed by matlab and simulink
Peer Group Analysis Clustering
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12
Unsupervised Clustering of Time Series using Peer Group Analysis PGA
Timeseriesgeneration
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12
Generating time series from a range of dynamical systems
Matlab Plot Big
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11
Makes large MATLAB line plots much faster.
Ebfret Gui
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10
ebFRET (GUI version) – Empirical Bayes HMM analysis for multiple single-molecule FRET time series
Time Series Analysis
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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.
Spiral
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10
Naca Airfoil Generator
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10
Airfoil generator of NACA 4, 5 and 6 Series
Harmonic_analysis_of_time_series
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9
Harmonic analysis of time series in python
Series Elastic Actuation Impedance Control
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9
Impedance Control of Series Elastic Actuators
Prfmodel
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8
Mitt
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8
Multi-Instrument Turbulence Toolbox (Matlab)
Icsc Hmm
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8
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.
Ctb
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7
Circuit Toolbox for Matlab/Octave
Time Series Classification
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7
Source code for a paper using Mahalanobis distances for time series classification.
Fast Permutation Entropy
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7
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
American Sign Language Recognition
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7
This repository contains techniques to extract features from time series data.
Validspike
⭐
7
Spike-sorting and validation metric codes in MATLAB and C
Dicomat
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6
A Dicom library for Matlab that groups 2D images into 3D volumes
Xmap
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6
Convergent Cross-Mapping
Brain_graphs
⭐
6
graph theory analysis of fMRI data
Lda Beamformer
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6
Matlab code for LDA beamforming in EEG/MEG data
Deepturbulence
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6
Extended Cepstral Distance
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5
A time series distance measure for efficient clustering of input/output signals by their underlying dynamics
Tscu
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5
Time Series Classification Utility
Volterra2.0
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5
Multiple-variance Volterra series Identification Tool
Forex Forecasting A Basic Example Using Neural Networks
⭐
5
A Matlab code repository describing the basic model applied towards time series forecasting
Tseva
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5
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
Insurgent Dynamics
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5
A hybrid system dynamics-time series method for conflict analysis using GDELT
Wind Weibull
⭐
5
Computing Weibull distribution parameters from a wind speed time series
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