pickpeaks(V,select,​display)

Find peaks in data using a scale-space approach. It is efficient and requires very few parameters.
2,5K download
Aggiornato 20 gen 2015

Visualizza la licenza

-------------------------------------------------------------
Scale-space peak picking
------------------------
This function looks for peaks in the data using scale-space theory.
input :
* V : data, a vector
* select : either:
- select >1 : the number of peaks to detect
- 0<select<1 : the threshold to apply for finding peaks
the closer to 1, the less peaks, the closer to 0, the more peaks
* display : whether or not to display a figure for the results. 0 by
default
* ... and that's all ! that's the cool thing about the algorithm =)
outputs :
* peaks : indices of the peaks
* criterion : the value of the computed criterion. Same
length as V and giving for each point a high value if
this point is likely to be a peak
The algorithm goes as follows:
1°) set a smoothing horizon, initially 1;
2°) smooth the data using this horizon
3°) find local extrema of this smoothed data
4°) for each of these local extrema, link it to a local extremum found in
the last iteration. (initially just keep them all) and increment the
corresponding criterion using current scale. The
rationale is that a trajectory surviving such smoothing is an important
peak
5°) Iterate to step 2°) using a larger horizon.

At the end, we keep the points with the largest criterion as peaks.
I don't know if that kind of algorithm has already been published
somewhere, I coded it myself and it works pretty nice, so.. enjoy !
If you find it useful, please mention it in your studies by referencing
the following report:

@techreport{liutkus:hal-01103123,
TITLE = {{Scale-Space Peak Picking}},
AUTHOR = {Liutkus, Antoine},
URL = {https://hal.inria.fr/hal-01103123},
TYPE = {Research Report},
INSTITUTION = {{Inria Nancy - Grand Est (Villers-l{\`e}s-Nancy, France)}},
YEAR = {2015},
MONTH = Jan,
HAL_ID = {hal-01103123},
}

running time should be decent, although intrinsically higher than
findpeaks. For vectors of length up to, say, 10 000, it should be nice.
Above, it may be worth it though.
---------------------------------------------------------------------
(c) Antoine Liutkus, 2015
---------------------------------------------------------------------

Cita come

Antoine Liutkus (2024). pickpeaks(V,select,display) (https://www.mathworks.com/matlabcentral/fileexchange/42927-pickpeaks-v-select-display), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2009b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.6.0.0

updated the script for compatibility with earlier matlab versions

1.5.0.0

added reference in description

1.4.0.0

Added a reference to research report to cite for this technique.

1.3.0.0

Several bugfixes and improvements to handle large datasets.

1.0.0.0