Description: Computes the autocovariance of two columns vectors consistently with the var and cov functions. autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2.
The resulting autocovariance column vector acv is given by the formula:
computes the sample autocovariance of a time series x for lags from 0 to maxlag, returning a column vector of length maxlag+1. x must be a column vector having length m not less than maxlag+1. If no value is supplied for maxlag, the default is the minimum of m-1 and 100.
This function takes an RGB image as input and gives the FWHM and 1/e^2 radius of Gaussian-assumed speckles in the horizontal and vertical directions in pixel units. The function is heavily commented for very easy use, and all mathematical...
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