Mittag-Leffler filter

Version 1.1.1 (4.28 KB) by Ivo Petras
Generalized low-pass filter with adjustable parameters of exponential-type forgetting

39 Downloads

Updated 17 Nov 2022

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Mittag-Leffler filter with exponential-type forgetting
Inputs: t = independent variable
y = noisy data to be filtered at the points t
sigma = standard deviation
alpha, beta = parameters of the Mittag-Leffler function
Output: y_filt = filtered data given in variable y
For more details and help write:
>> help ML_filter
See also draft of manuscript:
Ivo Petras: Novel Low-Pass Filter with Adjustable Parameters of Exponential-Type Forgetting, arXiv.org, 2022, https://doi.org/10.48550/arXiv.2210.01195
or published paper:
Ivo Petras: Novel Generalized Low-Pass Filter with Adjustable Parameters of Exponential-Type Forgetting and Its Application to ECG Signal, Sensors, 2022, vol. 22, no. 22; https://doi.org/10.3390/s22228740

Cite As

Ivo Petras (2023). Mittag-Leffler filter (https://www.mathworks.com/matlabcentral/fileexchange/118510-mittag-leffler-filter), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.1

Added link to the published paper.

1.0.1

Added reference with more details as well as new acknowledgment.

1.0.0