Corrected(Un-Damped) Autocorrelation Function (ACF)

版本 1.0.1 (1.9 KB) 作者: ASWIN SEKHAR C S

This MATLAB function represents a significant advancement in autocorrelation analysis by rectifying the inherent damping issue.

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更新时间 2023/8/18

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This MATLAB function offers an enhanced solution to the inherent damping issue present in the standard 'autocorr' algorithm. By addressing this concern, it ensures precise computation of the autocorrelation function (ACF) for a given input signal. In contrast to the conventional approach, which introduces notable damping relative to the lag count in samples, the enhanced algorithm rectifies this drawback.

The function accurately quantifies the similarity between a signal and its delayed version, offering valuable insights into periodicity and self-similarity within the signal. Users can utilize this function by providing the input signal and specifying the maximum number of lags. The function calculates the ACF values and corresponding lag indices, facilitating enhanced analysis of signal behavior.

Benefit from improved autocorrelation calculations with this enhanced algorithm, enabling accurate exploration of periodic patterns and self-similarity within signals.

Key Features:

Addresses damping issue in standard 'autocorr' algorithm.
Precise autocorrelation function calculations.
Valuable insights into signal periodicity and self-similarity.
User-friendly: input signal and maximum lags specification.
Enhanced analysis of signal behavior.

引用格式

ASWIN SEKHAR C S (2024). Corrected(Un-Damped) Autocorrelation Function (ACF) (https://www.mathworks.com/matlabcentral/fileexchange/133777-corrected-un-damped-autocorrelation-function-acf), MATLAB Central File Exchange. 检索来源 2024/10/3.