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Filtering
(i) Write an m-file "mymedian.m" which will take an image and filter size and perform median filtering. Display input and output image. Use
help median
function imm=mymedian(imn,msize) [h w]=size(imn); kernel_size=? imm=imn; for i=msize+1:(h-msize) for j=msize+1:(w-msize) imm(i,j)=median(reshape(imn(i-msize:i+msize,j-msize:j+msize),1,kernel_size)); end end
What is the median value of an image?
Comment on the complexity (number of operations per pixel) of the algorithm.
(ii) Write an m-file "mygaussian.m" which will take an image and filter size and perform Gaussian filtering. Display input and output image.
function img=mygaussian(imn,sigma) g=gauss(sigma);
img=?(iii) Perform median and Gaussian filtering on face_g.png, face_m.png,statue_m.png. What kind of noise the median filer is useful for? What kind of noise the Gaussian filer is useful for?
Once you are happy with the biasing components you will need to disable the DC simulation component and enable the SP component. (Right click the component and then select the "com
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explain compensation and charge neutrality in GaAs
Develop and execute a program to analyze the circuit shown in Figure (a), and use PROBE for plotting v C (t).
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For the circuit of Figure, given that V CC = 5V, R C = 1k, β = 100, and the high range is 4 to 5 V, choose R B such that any high input will saturate the transistor with the ba
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