1.7 KiB
Matching Pursuit Based Adaptive Chirplet Transform (MPACT)
MPACT is an open-source MATLAB® 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)
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Cui, J. and W. Wong (2006). "The adaptive chirplet transform and visual evoked potentials." IEEE Transactions on Biomedical Engineering 53(7): 1378-1384.
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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.