


psd2
 Purpose
 This function performs the Power Spectral Density Estimation using the method of Periodograms.
 Synopsis
 y = psd2(x, d)
y = psd2(x, d, f)
y = psd2(x, d, f, s)
 [y, c] = psd2(x, d)
[y, c] = psd2(x, d, f)
[y, c] = psd2(x, d, f, s)
 Description
 y = psd2(x, d) calculates the power spectral density estimate, y of type double, for input image x of type double, using a periodogram of dimensions given by the matrix d.
d = [M N] or d = [N] (for square periodograms).
 y = psd2(x, d, f) calculates the power spectral density estimate, y of type double, for input image x of type double. f is the frequency domain matrix dimensions, holding the results of the fft of periodogram. It's dimensions cannot be smaller than d.
 f = [FM FN] or f = [FN]. If f is not specified or f = [0], then f = d.
y = psd2(x, d, f, s) calculates the power spectral density estimate, y of type double, for input image x of type double. s is a matrix holding the shift parameters i.e. the amount by which the sample window (periodogram) must be shifted for the next sample.
 s = [SM SN] or s = [SM]. If s is not specified or s = [0], then s = d.
[y, c] = psd2(x, d)
 [y, c] = psd2(x, d, f)
 [y, c] = psd2(x, d, f, s)
 calculates the power spectral density estimate, y of type double, for input image x of type double
 and also returns the count c of the sample windows (periodograms) for the calculation of sample variance.
 See Also
 rapsd, anis, hxpsd2, hxrapsd, hxanis
 Reference
 [1] R. A. Ulichney, Digital Halftoning, MIT Press, Cambridge, Mass., 1987
Author
 Faraz Faheem, Dated: 10/23/99.
 Daniel L. Lau, Dated: 04/16/04
Dr. Daniel Leo Lau
Department of Electrical and Computer Engineering
University of Kentucky
453 Anderson Hall
Lexington, KY 405060046, USA
(859) 2572300 x273
dllau@engr.uky.edu
last edited on 4/16/04


