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MATLAB (Matrix Laboratory)

MATLAB is a software and a package to implement signal processing. Using this tool one can create and test various signals & systems. These signals and systems can be tested for various parameters and operations. The real time simulation of signals, images, audio and video are performed using MATLAB. Various programs, syntax, applications and uses of MATLAB and signal processing can be discussed in this category. As the need for signal processing is increasing day by day, there is a need for separate category.

500 Questions

What is the main difference between passive stereo vision and active stereo vision based on computer vision and image processing?

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Asked by Rexmanreborn

●Active Stereo Vision ●Two or more cameras placed at different locations ●One is usually stationery other can be moving ●Passive Stereo Vision

●Two cameras separated by a distance known as base length in the same plane

An analog signal with a bandwidth of 1.5khz is to be digitalised what time intervals should the analog signal be sampled?

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Asked by Wiki User

as a general rule of thumb, about 5 times the highest frequency for quality reproduction, although one can sometimes get away with a minimum of 2 times.

7.5KHz

What is the smallest version of an image?

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Asked by Wiki User

Going by your categories, I'd say pixel.

What describes your desired public image?

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Asked by Wiki User

unbound , integrous, innovative

Code for convolution function in matlab?

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Asked by Wiki User

%the program is developed my Mohendra Roy

%Bioelectronics division, Department of ECE, Tezpur Central University, INDIA,

a=input('Please Give The RANGE : ');

k=-a:+1:+a;

x=input('The input the x: ')

h=input('The input the h: ')

% x=[1 .5 .25]

% h=[1 .5 .25]

f=fliplr(h);

l1=length(x);

l2=length(h);

l3=l1+l2-1;

l4=l2-1;

y=zeros(1,l3);

for p=1:1:l3

p1=p+l4;

h2=zeros(1,l3);

h2([p:p1])=f;

l5=length(h2);

h1=zeros(1,l5);

h1([l2:l3])=x

c1=h1.*h2

c2=0;

for i=1:1:l3

c2=c2+c1([i]);

end

sum=c2

y([p])=sum

end

% temp1=length(x);

% temp2=length(h);

t=length(y);

t2=(t-1)/2;

v=-t2:1:t2;

subplot(3,1,1),stem(k,x,'*');

subplot(3,1,2),stem(k,h,'g*');

subplot(3,1,3),stem(v,y,'r*');

n=input('The lower limit of X axis is: ')

m=input('The Upper limit of X axis is: ')

o=input('The lower limit of Y axis is: ')

p=input('The Upper limit of Y axis is: ')

subplot(3,1,1),stem(k,x,'*');axis([n m o p]);grid on

subplot(3,1,2),stem(k,h,'g*');axis([n m o p]);grid on

subplot(3,1,3),stem(v,y,'r*');axis([n m o p]);grid on

% subplot(3,1,1);stem(x);

% subplot(3,1,2);stem(h);

% subplot(3,1,3);stem(y);