Estimation of the Signal Short-Time Stationarity Duration
Version 1.1.0 (5.36 MB) by Hristo Zhivomirov
Estimation of the short-time stationarity duration (in terms of frame lengths) of a given nonstationary signal using a novel method.
Updated 21 Oct 2022
The present code is a Matlab function that implements a novel technique named “statiogram” concerning the estimation of the short-time stationarity frame duration of a given nonstationary signal. The procedure answers what should be the length of the frames into which a nonstationary signal is divided so that the signal be considered as short-time wide-sense stationary in the boundaries of the (most of the) frames, with some predefined confidence level. This is of particular importance when one is going to perform some kind of time-localized analysis (e.g., STFT or signal feature extraction), in the fields of speech and sound processing; vibration and seismic analysis; neuroscience, etc.
A few examples are given in order to clarify the usage of the function. For convenience, the input and output arguments are given in the beginning of the function.
The code is based on the theory described in:
 H. Zhivomirov, I. Nedelchev. A Method for Signal Stationarity Estimation. Romanian Journal of Acoustics and Vibration, ISSN: 1584-7284, Vol. XVII, No. 2, pp. 149-155, 2020. (http://rjav.sra.ro/index.php/rjav/article/view/178/103).
 --- a research article dedicated to the proposed routine is about to come by the end of December 2022. ---
Hristo Zhivomirov (2023). Estimation of the Signal Short-Time Stationarity Duration (https://www.mathworks.com/matlabcentral/fileexchange/107060-estimation-of-the-signal-short-time-stationarity-duration), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform CompatibilityWindows macOS Linux
Inspired by: Signal Stationarity Estimation with Matlab
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