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Write an m-file "distan.m" which does all the following operations:
(i) computes 10 dimensional histogram of an input image h1=sum(hist(imn,10)'); (ii) computes negative image and its histogram (iii) normalizes vectors h1, h2 such that the integral of each is 1 Why does it have to be normalized? (iv) displays both histograms (v) computes similarity between two histograms using euclidean distance, histogram intersection, correlation, chi-square
function distan(im) imn=imnorm(im)/255.0; h1=? h1n=? imnn=? h2=? h2n=? %euclidean he=sqrt(sum((h1-h2).^2)) %correlations hc=? %intersection, use min function hh=? %chi-square, use sum function hch=? How do the distances differ?
the electrical network show below
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The vectors we will use we be refered to right-handed Cartesian axes. Right handed means that the x,y,z axes are oriented in a particular way (which you must know). See diagrams
Q. What is the procedure of Binary Division? The Binary division is the repeated process of subtraction, just as in decimal division. Signed Numbers Representation If w
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Using Nyquist theorem, determine the sampling rate for an analog signal with frequencies from 3000Hz to 86000Hz and for a signal with ahorizontal line in th
Explain Medium length lines? Medium length lines cover lines in the range of 50 to 150 miles (80 to 240 km). Due to the increased length of the line, the shunt capacitance of t
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