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TED (version 1.0)

Turbulence time series Event Detection and classification

Description

TED performs event detection and classification in turbulence time series.

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Version

Install

install.packages('TED')

Monthly Downloads

7

Version

1.0

License

GPL (>= 2)

Maintainer

Yanfei Kang

Last Published

May 10th, 2014

Functions in TED (1.0)

cbfs_red

Generate an artificial event with red noise
aniplotevents

Generate a gif to visualise the event detection process
eventExtraction

Extract events from time series
measures

Calculate statistical characteristics of an event
cbfs

Generate an artificial event with white noise
plotevents

Plot the detected events
detrendc

Conditionally detrend a time series
ur.za.fast

Unit root test for events considering a structrual break
eventCluster

Cluster detected events
ted-package

Detect and classify events from turbulence time series
noiseTests

Perform noise tests for a time series
eventDetection

Detect events from time series
ts2mat

Reshape a vector into a matrix
CASES99

One day of 1-s averages of the thermocouple temperature data from CASES-99 dataset