BUTIFtoolbox is used to extract transient oscillatory dynamics from signals. Until now, it was succesfully applied to LFP (Local Field Potentials) and EEG (Electroencephalographic) signals. Applications to other fields could be researched.

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“Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.”
The fractal self-similiarity of the Daubechies mother wavelet.
Copyright
o Amara Graps, 1995-2004
o 1995 by the Institute of Electrical and Electronics Engineers, Inc
The original version of this work appears in IEEE Computational Science and Engineering, Summer 1995, vol. 2, num. 2, published by the IEEE Computer Society

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An excellent tutorial on Wavelet Analysis covering also the basic concepts of mathematical transformations, time-frequency representations and non-stationary signal properties.
wavelet transform

By Robi Polikar
Dept. of Electrical and Computer Engineering
Rowan University

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Wave_clus is a fast and unsupervised algorithm for spike detection and sorting. Although it gives a first unsupervised solution, this can be further modified according to the experimenter’s preference (semi-automatic sorting).
Wave_clus screenshot

By Rodrigo Quian Quiroga,
Reader in Bioengineering,
Dept. Engineering. University of Leicester, UK.

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