Matching Pursuit based Adatpive Chirplet Transform - MPACT

MPACT is an open-source MatLab(R) toolbox that implements multi-component chirplet signal analysis

$s\left( t\right) = {\left( \frac{\alpha }{\pi }\right)} ^{1/4}\exp \left[ -\frac{\alpha }{2}{\left( t-t_{0}\right)} ^{2}\right] \times \exp \left[ j\frac{\beta }{2}{\left( t-t_{0}\right)} ^{2}\right] \exp \left[ j\omega _{0}\left( t-t_{0}\right) \right]$

using matching pursuit algorithm.

The code repository for MPACT is hosted on GitHub at https://github.com/jiecui/mpact.

Installation

Copy the files to the directory of your choice, e.g. ~/mpact/
Within Matlab, go the directory where you have copied the files e.g. >> cd(‘~/mpact/’);
Add the directory and its subdirectories into MatLab search path.
Type MatLab command, i.e. >> doc, to bring up MatLab help browser.
Find “Adaptive Chirplet Transform with Matching Pursuit Toolbox” in the section of Supplemental Software.
Follow the instructions on the screen.

References

Cui, J. and D. Wang (2017). "Biosignal Analysis with Matching-Pursuit Based Adaptive Chirplet." arXive (pre-print https://arxiv.org/abs/1709.08328)
Cui, J. and W. Wong (2006). "The adaptive chirplet transform and visual evoked potentials." IEEE Transactions on Biomedical Engineering 53(7): 1378-1384.
Cui, J., Wong, W., & Mann, S. (2005). "Time-frequency analysis of visual evoked potentials using chirplet transform." Electronics Letters, 41(4), 217-218. (PDF http://individual.utoronto.ca/jiecui/_private/Time_frequency_chirplet_vep.pdf)

License

MPACT is distributed by the GPL v3 Open Source License.