2nd Matlab MCQ

For each question, click on the correct solution(s). One or more propositions can be correct.

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Question 1

When loading a jpeg file, Imread() function return :

A three dimensional array. First dimension is for height of image, second for width and last for color-depth

A two dimensional array. First dimension is for size of image, second is for color-depth

Question 2

Which statement(s) is/are correct (i.e. syntactically legal) if you want to assign a value of 1 to all colors components of all pixels of an image ? (we assume that color depth has three components : R G B)

img(:,:,:)=1;

img(:,:,1)=1; img(:,:,2)=1; img(:,:,3)=1;

img(all())=1;

for I=1:size(img,1), for J=1:size(img,2), for k=1:size(img,3), img(I,J,k)=1; end; end; end

Question 3

A and B are matrices of different dimensions: A is an array of 43 And B is an array of 33.
What does produce A.*B ?

element by element multiplication

matrix multiplication

an error

Question 4

'ech' is a vector of 100 000 values, and 'y' is defined as : y=sin(2pi1000*ech);
how can we plot y Vs. ech ?

we can't !

plot(ech, y);

image(ech, y);

figure(ech, y);

Question 5

ech = 0:1/100000:0.02; y1 = sin(ech);
How can we add random values to y1, by using the rand() function (in order to simulates a noise effect) ?

y2=y1+rand();

y2=y1*rand(:);

y2=y1+rand(size(y1));

y2=y1+rand(length(y1));

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2nd Matlab MCQ

When loading a jpeg file, Imread() function return :

Which statement(s) is/are correct (i.e. syntactically legal) if you want to assign a value of 1 to all colors components of all pixels of an image ? (we assume that color depth has three components : R G B)

A and B are matrices of different dimensions: A is an array of 4*3 And B is an array of 3*3.What does produce A.*B ?

'ech' is a vector of 100 000 values, and 'y' is defined as : y=sin(2*pi*1000*ech);how can we plot y Vs. ech ?

ech = 0:1/100000:0.02; y1 = sin(ech);How can we add random values to y1, by using the rand() function (in order to simulates a noise effect) ?

A and B are matrices of different dimensions: A is an array of 43 And B is an array of 33.
What does produce A.*B ?

'ech' is a vector of 100 000 values, and 'y' is defined as : y=sin(2pi1000*ech);
how can we plot y Vs. ech ?

ech = 0:1/100000:0.02; y1 = sin(ech);
How can we add random values to y1, by using the rand() function (in order to simulates a noise effect) ?