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We use the conv(x1,x2) function in Matlab to perform convolution of two discrete signals. For example, to perform the convolution of two discrete time sequences x1 (n) = {1, 0, 1,2}  and x2 (n) = {1, 2, 4, 6}. Code:  x1=[1,0,1,2]; %1st sequence N1=length(x1); %stores length of 1st sequence n1=0:1:N1-1; %range of x axis for 1st graph of 1st sequence subplot(1,3,1); % in a 1x3 grid, 1st sequence occupies the 1st grid stem(n1,x1,'linewidth',1.5); %to plot the sequence specifying time axis, signal and line width xlabel('n1----->'); %title of x axis ylabel('x1----->'); %title of y axis grid on; x2=[1,2,4,6]; %2nd sequence N2=length(x2);    %stores length of 2nd sequence n2=0:1:N2-1;  %range of x axis for 2nd graph of 2nd sequence subplot(1,3,2);  % in a 1x3 grid, 2nd sequence occupies the 2nd grid stem(n2,x2,'red','linewidth',1.5);  %to plot the sequence specifying time axis,signal,line width and colour xlabel('n2----->'); % title of

It was raining heavily as I hurriedly ran towards my flat in Southern Park. It was already eleven when I was returning home after work. I soon realised by the darkness of the lane that there was a power cut in the locality which made it very difficult to find my way.  Adapting my eyes to the darkness of the lane, I strode along the path I knew so well. I quickly opened the door and entered the apartment. It was a three storey building, the ground floor was Dr. Kunal's Chamber and the first floor belonged to Mr. Bose while I lived on the second floor.  As I entered I could see a faint light coming from a candle burning in the doctor's cabin and feeling for the stair case in the dark , I slowly started to climb the stairs. There was an empty bird cage at the door of Mr. Bose who was a bird lover and would often go to the nearest lake with his DSLR camera early in the morning hoping to take a snap of  the river kingfisher or the common emerald dove. So carefully passing by the cag

1. For Continuous Time Sequence:        Use the function:  plot(X-axis, Y-axis)          For example to plot a parabolic function p(t)=  At^2 for t>=0                                                                                    0        for t<0           Code:           %UNIT PARABOLIC FUNCTION t=linspace(-20,20,20);      %range of X-asis A=1;                  %amplitude of the function for A=1 it is called unit parabolic function p=[t>=0].*(A.*t.^2)/2;      %parabola equation as defined above subplot(1,2,1);                  %the graph occupies 1st position in 1x2 grid plot(t,p); %plot(X-axis is represented here as t, Y-axis is represented by p here) xlabel('t---->')                  %naming the x-axis in the graph ylabel('p(t)---->');            %naming the y-axis in the graph title('Unit parabolic Signal'); %title of the graph grid on;   The output graph is shown below:   2.  For Discrete Time Sequence:         Use the function:   stem(