Calvin Price (2025). Autocorrelation Function (ACF) (https://www.mathworks.com/matlabcentral/fileexchange/30540-autocorrelation-function-acf), MATLAB Central File Exchange. Retrieved May 1, 2025. MATLAB Release Compatibility Created with R2009a Compatible with any release Platform Compatibility ...
An attractive MATLAB-based tool for teaching the basics of autocorrelation function and noise concepts is presented in this paper. This tool enhances traditional in-classroom lecturing. The demonstrations of the tool described here highlight the description of the autocorrelation function (ACF) in a ...
When you use parcorr to plot the sample partial autocorrelation function, approximate 95% confidence intervals are drawn at ±2/√N by default. Optional input arguments let you modify the calculation of the confidence bounds. Compute Sample ACF and PACF in MATLAB® Copy Code Copy Command This ...
Not quite. The labels of an axis are contained in axes which are a child of the real axis. So get(gca, 'YLabel') returns a handle to an axis. Since I am returning more than one property (i.e., YLabel and XLabel), get(gca, {'YLabel', 'XLabel'}) returns a cell array,...
Moreover, the acquirement of both the autocorrelation function (ACF) and the power spectral density (PSD) of all navigation signals (in Matlab) and all... R Canalda Pedrós - IET 被引量: 10发表: 2009年 Study of the multiplicative autocorrelation of the "fractional part" function A first ...
Code Issues Pull requests The simulation of stationary time-series (discrete-time random process) with a specific autocorrelation function (ACF) and continuous probability distribution. python time-series simulation wss autocorrelation random-process autocovariance Updated Feb 4, 2024 Python morrow...
Pitch extraction by using autocorrelation function on the log spectrum Extraction of fundamental frequency of the voice wave (pitch extraction) is needed in many areas of speech processing, but no established state-of-the-art ... N Kunieda,T Shimamura,J Suzuki - 《Electronics & Communications in...
First, we estimated the smoothness of the brain-masked four-dimensional residual maps using the smoothest function in FSL. Knowing the DLH parameter, which describes image roughness, and the number of voxels within the brain mask (VOLUME), we then ran the cluster function in FSL on the z-...
This paper describes a MATLAB program with a graphical user interface (GUI) for a signal processing based on the Auditory Image Model [S. Bleeck et al., Acta Acustica united with Acustica, 90 (2004) 781-787], followed by the summary autocorrelation function (SACF) and the summary interaural...
Spatial correlation;Spatial dependence;Spatial interdependence Definition In many spatial data applications, the events at a location are highly influenced by the events at neighboring locations. In fact, this natural inclination of a variable to exhibit similar values as a function of distance between ...