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# STOCHASTIC SYSTEMS EE 640

UK
GPA 3.81

Laurence Hassebrook

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COURSE
PROF.
Laurence Hassebrook
TYPE
Class Notes
PAGES
1
WORDS
KARMA
25 ?

## Popular in Electrical Engineering

This 1 page Class Notes was uploaded by Adaline Pollich on Friday October 23, 2015. The Class Notes belongs to EE 640 at University of Kentucky taught by Laurence Hassebrook in Fall. Since its upload, it has received 36 views. For similar materials see /class/228314/ee-640-university-of-kentucky in Electrical Engineering at University of Kentucky.

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Date Created: 10/23/15
VISUALIZATION STATIONARY COLORED NOISE FIELD Updated 21303 22703 In this visualization you are asked to create a stationary colored noise eld in an image matrix The image is an N x N matrix and in the following problem debug your code with a value of N32 then increase to has high as is reasonable but not greater than N256 1 Generate an N x N binary image where a quot1quot value has equal probability to a quot0quot value Now generate a moving average window of width MxM in an NxN lter image You may use quotYirectTyTxMyNx The Y matrix is a rectangular aperture The aperture is centered at indices 11 and wrapped around all four comer of the image For perfect symmetry make the rectangle size Ty Tx odd values irectmquot from httpwwwengrukyedulghso so 2dhtm Plot both the noise eld and the lter image To convolve the rectangular image with the noise image use the FFT method such that Zrealif 2f 2Af 2H PlotZ for M3 11 and 31 Why is this a convolution Compare results with Zconv2AH2 Show the image plots Let A be the noise eld and H2realf shi irectMMNN

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