ashish dsp

7/31/2019 Ashish Dsp

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Program 1-To impliment unit impulse and unit step

function.

(i) Unit impulse

function y = impulse_fn % declerition the function

for i=-10:1:10 % defining the range

if i==0

y=1;

else

y=0;

end

stem(i,y); % displaying th oputput

hold on; % retain current graph in figure.

end

(ii) unit step

function y = unitstep_fn % declerition the function

for i=-10:1:10 % defining the range

if i>=0

y=1;

else

y=0;end

stem(i,y); % displaying th oputput

hold on; % retain current graph in figure.

end


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(i) Output of unit impulse

(ii) Output of unit step fu

function.

nction.


3/14

Program2-program for given function.

% progrm for given function.function y = function2() % decleration of function.

for i=-6:1:6 % range of x axis

if i>=-4 && i


4/14


5/14

Program3-write a program for various defined signal.

%making a impulse function

function y = imp(n,p) %function decleration.

y=[(n-p)==0];

% making a unit step function.

function y = step1(n,p) % function decleration.

y=[(n-p)>=0];

% implementing various defined function.

clear all % clear the command window.

n=-5:5; % defining the length of x axis of signal 1.

a=2*imp(n,-2)-imp(n,4); % a is defined the signal 1 and

calling imp function.

subplot(2,2,1); % making a ploting matrics.

stem(n,a); % stem function is used for ploting sampled signal.

xlabel('n'); % labeling x and y axis.

ylabel('x(n)');

n1=0:20; % defining the length of x axis of signal 2 .

b=n1.*(step1(n1,0)-step1(n1,10))+10*exp(-0.3*(n1-

10)).*(step1(n1,10)-step1(n1,20)); %b is defined the signal 2

and calling step function.subplot(2,2,2);

stem(n1,b);

xlabel('n1');

ylabel('x(n1)');

n2=0:50; % defining the length of x axis of signal 3.

c=cos(0.04*pi*n2)+0.2*rand(size(n2));%b is defined the signal 3.

subplot(2,2,3);

stem(n2,c);

xlabel('n2');

ylabel('x(n2)');

n3=-10:9; % defining the length of x axis of signal 4.d=[5 4 3 2 1]; %b is defined the signal 4.

e=[d d d d];

subplot(2,2,4);

stem(n3,e);

xlabel('n3');

ylabel('x(n3)');


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3.output of various signal.


7/14

Program 4(i)- pro

clear all % cle

% create a dialog bo

prompt = {'Enter seq

sequence B:','Positi

dlg_title = 'Inputs

num_lines = 1;

def = {'1 2 3 4','1'

answer = inputdlg(pr

open input dialog bo

a=str2num(answer{1})

a number, use str2nm

aposition =str2num(a

b=str2num(answer{3})bposition=str2num(an

m=length(a);

n=length(b);

o=m+n-1;

y=zeros(1,o);

for k=1:o

for j=max(1,k+1-

y(k)=y(k)+a(

end

end

y

Input dialog box.

gram for calculating conv

ar the screen.

x.

uence A:','Position of origin:

on of origin:'};

for convolution';

% define no. of line in input

,'1 1 1 1','1'}; % assigni

ompt,dlg_title,num_lines,def);

x.

% To convert a member of the

.

nswer{2})

swer{4})

% length of any array.

n): min(k,m) %find con

j)*b(k-j+1);

lution

','Enter

dialog box.

ng value

% Create and

cell array to

volution


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Output of given convolution.

a =

1 2 3 4

aposition =

1

b =

1 1 1 1

bposition =

1

y =

Columns 1 through 6

1 3 6 10 9 7

Column 7

4


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Program 6-find th%input dialog box

prompt = {'Enter seq

sequence B:','Positi

dlg_title = 'Inputs

num_lines = 1;

of line in input dia

def = {'1 2 3 4','1'

value

answer = inputdlg(pr

open input dialog bo

a=str2num(answer{1})

a member of the cell

aposition =str2num(a

b=str2num(answer{3})bposition=str2num(an

b1=fliplr(b);

about y axis.

m=length(a);

any array.

n=length(b1);

o=m+n-1;

y=zeros(1,o);

for k=1:o

for j=max(1,k+1-

correlationy(k)=y(k)+a(

end

end

y

Input dialog box

e correlation of two sign

uence A:','Position of origin:

on of origin:'};

for convolution';

log box.

,'1 1 1 1','1'};

ompt,dlg_title,num_lines,def);

x.

array to a number, use str2nm

nswer{2})

swer{4})

n): min(k,m)

j)*b1(k-j+1);

l.

','Enter

% define no.

% assigning

% Create and

% To convert

.

% folding

% length of

%find


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Output of correlation of given 2 signal.a =

Columns 1 through 6

2 -1 3 7

1 2

Column 7

-3

aposition = 1

b =

Columns 1 through 6

1 -1 2 -2

4 1

Columns 7 through 8

-2 5

bposition = 4

y =

Columns 1 through 6

10 -9 19 36

-14 33

Columns 7 through 12

0 7 13 -18

16 -7

Columns 13 through 14

5 -3


11/14

Program-8(i)-genralisation of signal with filter.

a=[1/4 1/4 1/4 1/4];

a1=ones(1,8);

x=[zeros(1,20) ones(1,20) zeros(1,10)]; %taking x as input

signal

xa=awgn(x,20); %adding noise in input signal.

f=filter(a,1,xa); %filtering the noise added

signal with order 1 filter.

f1=filter(a1,8,xa); %filtering the noise added

signal with order 8 filter.

subplot(2,2,1)

plot(x)

subplot(2,2,2) %making the plot array.

plot(xa) %plot yhe signal.

subplot(2,2,3)

plot(f)

subplot(2,2,4)

plot(f1)


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Output of filter.


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Program 8(ii)- genralisation of audio signal with

filter.

% Record your voice for 10 seconds.

myVoice = audiorecorder; %making audio recorder object.

disp('Start speaking.')

recordblocking(myVoice, 10);

disp('End of Recording.');

% Play back the recording.

play(myVoice);

% Store data in double-precision array.mydata = getaudiodata(myVoice);

subplot(3,1,1),plot(mydata); % Plot the waveform.

xlabel('t'); % labeling x and y axis.

ylabel('x(t)');

title(audio signal);

mydata1=awgn(mydata,20);

subplot(3,1,2),plot(mydata1);


ylabel('x(t)');

title(noise added signal);

a=[1/7 1/7 1/7 1/7 1/7 1/7 1/7];

%filtering the noise added signal with order 1 filter.

f=filter(a,1,mydata1);

subplot(3,1,3)

plot(f) %plot yhe signal.


ylabel('x(t)');

title(filtered signal);


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Output of audio filterd si

nal.

ashish dsp

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