Matlab program for Auto Correlation?

AUTOCORRELATION:

 To write a program for Auto Correlation for the given sequence using MATLAB

ALGORITHM:

Step 1: Start
Step 2: Read the input sequence
Step 3: Perform auto correlation using the xcorr() function
Step 4: Plot the sequences
Step 5: Display the input & output sequences
Step 6: Stop
SOURCE CODE:

clc;

close all;

clear all;

x=input('Enter the sequence 1: ');

y=xcorr(x,x);

figure;

subplot(2,1,1);

stem(x);

ylabel('Amplitude->');

xlabel('n->');

title('Input sequence');

subplot(2,1,2);

stem(fliplr(y));

ylabel('amplitude');

xlabel('n->');

title('Output sequence');

disp('the resultant is ');

fliplr(y);

OUTPUT:

 FOR MORE DETAILS CLICK HERE

MATLAB CODE FOR INFINITE IMPULSE RESPONSE FILTER(LPF,HPF,BPF,BSF)

MATLAB PROGRAM FOR IIR:

To write a program for IIR(infinite Impulse Response) filter like Low pass FIR filter, High pass FIR filter, Band pass FIR filter and Band stop FIR filter using Rectangular window using MATLAB.

ALGORITHM:

LOW PASS FILTER:

Step 1: Read the input sequence
Step 2: Perform low pass filter calculations
Step 3: Plot the output sequences

HIGH PASS FILTER:

Step 1: Read the input sequence
Step 2: Perform high pass filter calculations
Step 3: Plot the output sequences

BAND PASS FILTER:

Step 1: Read the input sequence
Step 2: Perform band pass filter calculations
Step 3: Plot the output sequences

BAND STOP FILTER:

Step 1: Read the input sequence
Step 2: Perform band stop filter calculations
Step 3: Plot the output sequences

PROGRAM:
clc;
clear all;
close all;
rp= input ('Enter the passband ripple ');
rs= input('Enter the stop band ripple ');
wp= input('Enter the passband frequency ');
ws=input('Enter the stopband frequency ');
fs=input('Enter the sampling frequency ');
w1=2*wp/fs;
w2=2*ws/fs;
[n,wn]=buttord(w1,w2,rp,rs);
[b,a]=butter(n,wn);
w=0:0.01:pi;
[h,om]=freqz(b,a,w);
m=20*log10(abs(h));
an=angle(h);
subplot(2,1,1);
plot(om/pi,m);
title('IIR LPF');
ylabel('Gain(dB)');
xlabel('Normalised frequency');
subplot(2,1,2);
 plot(om/pi,an);
 ylabel('Phase(radians)');
 xlabel('Normalised frequency');


OUTPUT:

        
                                 Fig: IIR window Output



FOR MORE DETAILS  CLICK HERE

LINEAR CONVOLUTION USING MATLAB?

MATLAB PROGRAM FOR THE GENERATION OF LINEAR CONVOLUTION:  

     To write a program for the generation of Linear convolution for the given sequences by using MATLAB.

ALGORITHM:

Step 1: Start
Step 2: Read the first sequence
Step 3: Read the second sequence
Step 4: Perform convolution for both the sequences using conv() function
Step 5: Plot the sequence
Step 6: Display the output sequence
Step 7: Stop

SOURCE CODE:

clc;

x=input('Enter the sequence 1:');

h=input('Enter the sequence 2:');

y=conv(x,h);

figure;

subplot(3,1,1);

stem(x);

ylabel('Amplitude->');

xlabel('N->');

subplot(3,1,2);

stem(h);

ylabel('Amplitude->');

xlabel('N->');

subplot(3,1,3);

stem(y);

ylabel('Amplitude->');

xlabel('N->');

disp('The resultant signals:');

 

OUTPUT:

FOR MORE DETAILS CLICK HERE

HOW TO GENERATE SINE, COSINE,RAMP,EXPONENTIAL,UNIT STEP AND UNIT IMPULSE SIGNALS USING MATLAB?

GENERATION OF SIGNALS:
                          

To write a program using MATLAB for the generation of signals like Sine sequence, Cosine sequence, Ramp sequence, Exponential sequence, Unit-step sequence and Unit-impulse sequence.

ALGORITHM:

SINE SEQUENCE:

 Step 1: Initialize the time period.
 Step 2: Design the function of sine wave.
 Step 3: Plot the sine sequence.
 Step 4: Display the output

COSINE SEQUENCE:

 Step 1: Initialize the time period.
 Step 2: Design the function of cosine wave.
 Step 3: Plot the cosine sequence.
 Step 4: Display the output

RAMP SEQUENCE:

 Step 1: Read the length of the ramp sequence.
 Step 2: Define the length of the ramp sequence.
 Step 3: Plot the ramp sequence using stem function.
 Step 4: Display the output.

EXPONENTIAL SEQUENCE:

 Step 1: Read the length of the exponential sequence.
 Step 2: Read its amplitude.
 Step 3: Plot the exponential sequence using stem function.
 Step 4: Display the output.

UNIT-STEP SEQUENCE:

 Step 1: Read the length of the unit-step sequence.
 Step 2: Plot the unit-step sequence.
 Step 3: Display the output.

UNIT-IMPULSE SEQUENCE:

 Step1: Read the length of the unit-impulse sequence.
 Step2: Plot the unit-impulse sequence.
 Step 3: Display the output.

MATLAB CODE FOR SIGNAL GENERATION:

clc;

t=0:0.1:pi;

y=sin(2*pi*t);

subplot(3,2,1);

plot(t,y);

ylabel('Voltage(Volts)->');

xlabel('(a)time(Sec)->');

title('SINE SEQUENCE');

clc;

t=0:0.1:pi;

y=cos(2*pi*t);

subplot(3,2,2);

plot(t,y);

ylabel('Voltage(Volts)->');

xlabel('(b)time(Sec)->');

title('COSINE SEQUENCE');

clc;

n1=input('Enter the length of the ramp signal:');

t=0:n1;

subplot(3,2,3);

stem(t,t);

ylabel('Voltage(Volts)->');

xlabel('(c)N->');

title('RAMP SEQUENCE');

clc;

n2=input('Enter the length of the exponential sequence:');

t=0:n2;

a=input('Enter  the "a" value:');

y2=exp(a*t);

subplot(3,2,4);

stem(t,y2);

ylabel('Voltage(Volts)->');

xlabel('(d)N->');

title('EXPONENTIAL SEQUENCE');

clc;

n3=input('Enter the length of the unit sequence:');

t=0:1:n3-1;

y1=ones(1,n3);

subplot(3,2,5);

stem(t,y1);

ylabel('Voltage(Volts)->');

xlabel('(e)N->');

title('UNIT STEP SEQUENCE');

clc;

t=-5:5;

y=[zeros(1,5),ones(1,1),zeros(1,5)];

subplot(3,2,6);

stem(t,y);

ylabel('Voltage(Volts)->');

xlabel('(f)N->');

title('UNIT IMPULSE SEQUENCE');

  

OUTPUT:

  FOR MORE DETAILS CLICK HERE

WHAT IS SPEECH PROCESSING?

Signal processing is the action of changing one or more features (parameters) of a signal according to a predetermined requirement. The parameters that is to be changed may be , amplitude, frequency, phase etc... of the signal . The signal which undergoes such a process is known as input signal. And the entity which performs this processing is known as "Signal processing system" or simply system. ie; the input signal is fed to the system and the appropriately processed signal is coming out of the system. This signal is known as the "Output signal".

 

Fig:Signal processing 

FOR MORE DETAILS     CLICK HERE

MATLAB CODE FOR ANALOG TO DIGITAL SIGNAL CONVERSION

hi
     we know the analog sine wave but latest discrete signal . In  MATLAB  we can implement  by using following code
 clc;
clear all;
close all;
x=0:0.1:10;
y=sin(x);
subplot(2,1,1);

plot(x,sin(x));
xlabel('time');
ylabel('amplitude');
title('analog  signal');
hold on;
subplot(2,1,2);
x=0:0.1:10;
y=sin(x);
stem(x,y);
title('discrete  signal');xlabel('time');
ylabel('amplitude');

FOR MORE DETAILS
                                         CLICK HERE

WHAT IS 5G TECHNOLOGY?

WHAT is 5G:

FUTURE 5G communication systems need to support unprecedented requirements for the wireless access connection, targeting cell throughput capacities of 1000 X current 4G  technology and roundtrip latency of about 1 msec.

we know about 3G and 4G. now a days these are implemented in real time, but 5G is the latest concept and researching field. check latest IEEE paper with 5G concept with this link..

                                   
                                                        Fig: 5G TECHNOLOGY

          FOR MORE DETAILS..
FAIRNESS FOR NON-ORTHOGONAL MULTIPLE ACCESS IN 5G SYSTEMS