Showing posts with label MATLAB PROGRAMS. Show all posts
Showing posts with label MATLAB PROGRAMS. Show all posts

Monday, November 21, 2011

0

matlab program for crosscorrelation crosscorrelation using matlab

  • Monday, November 21, 2011
  • Nfl nfl
  • % CROSS CORRELATION
    clear all;
    x = input('enter first sequence x=');
    h = input('enter second sequence =');
    N1=length(x);
    N2=length(h);
    m=0:N1-1;
    k=0:N2-1;
    N= max(N1,N2);
    x =[x zeros(1,N-N1)];
    h =[h zeros(1,N-N2)];

      if (N1>N2)
     p=x;x=h;h=p;     %for swapping since first term should be smaller so swapping smaller with biger one
      end 
     z=x;
     for i=1:N-1       
         for i=N-1:-1:1
           x(i+1)=x(i);      %rotating
         end;
        x(1)=0;              %assigning zero
        z=[z; x];            %concatenating matrices
    end;
    m=[z]*[h'];                  %cross-correlation
    m=m/N;
    disp(z);
    disp(h);
    disp(m);
    stem(m);
    title('cross-correlation')
    xlabel('time index=');
    ylabel('amplitude =');

    input
    enter first sequence x=[1 2 3 4 ]
    enter second sequence =[1 2 3 4 5]

    output

    tags:matlab program for correlation matlab code for cross correlation

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    Sunday, May 1, 2011

    1

    matlab program for autocorrelation matlab code for autocorrelation autocorrelation matlab code

  • Sunday, May 1, 2011
  • Nfl nfl
  • matlab program for autocorrelation

    program

    clear all;
    x=input('Enter the sequence');
    N=length(x);
    y=x;
    z=x;
    for i=1:N-1
        for i=N-1:-1:1
            x(i+1)=x(i);
        end
        x(1)=0;
        z=[z;x];
    end
    m=[z]*[y'];
    m=m/N;
    stem(m);
    disp(m);
    title('Auto correlation');
    xlabel('Time index');
    ylabel('Amplitude');

    input
    enter the sequence[1 2 3 4 5]

    output

    tags:autocorrelation matlab code,matlab program for autocorrelation matlab code for autocorrelation autocorrelation matlab code autocorrelation using matlab
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    Monday, April 18, 2011

    2

    matlab program for circular convolution matlab code for convolution matlab code for circular convolution

  • Monday, April 18, 2011
  • Nfl nfl
  • circular convolution using matlab

    %circular convolution
    a=input('enter first sequence');
    b=input('enter second sequence');
    l1=length(a);
    l2=length(b);
    N=max(l1,l2);
    a=[a zeros(N-l1)];
    b=[b zeros(N-l2)];
    for n=0:N-1
        y(n+1)=0;
        for i=0:N-1;
            j=mod(n-i,N);
            y(n+1)=y(n+1)+a(i+1)*b(j+1);
        end
       
    end
    disp(y);
    x=1:N;
    stem(x,y);
           
    input
    enter first sequence[2 1 2 1]
    enter second sequence[1 2 3 4]
       
    output
    tags: matlab program for circular convolution matlab code for convolution matlab code for circular convolution circular convolution using matlab
     

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    4

    matlab program for linear convolution matlab code for linear convolution linear convolution using matlab program

  • Nfl nfl
  • matlab program for linear convolution  
    %linear convolution
    a=input('enter the first sequence');
    b=input('enter second sequence');
    l1=length(a);
    l2=length(b);
    a=[a zeros(1,l2-1)];
    b=[b zeros(1,l1-1)];
    N=l1+l2-1;
    for k=1:N
        s=0;
        for i=1:k
            s=s+(a(i)*b(k+1-i));
        end
           c(k)=s;
    end
    l=length(c);
    n=1:1:l;
    disp(c);
    stem(n,c);
    xlabel('time');
    ylabel('amplitude');
    title('linear convolution');

    input

    enter the first sequence[2 1 1]
    enter second sequence[1 2 4]



    output
     tags:matlab program for linear convolution matlab program for convolution matlab code for linear convolution linear convolution using matlab program
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    Wednesday, April 13, 2011

    0

    matlab program for fir hpf filter high pass filter fir design using matlab

  • Wednesday, April 13, 2011
  • Nfl nfl
  • matlab program for fir high pass filter
    clear all;
    w=input('enter cut off fre in hertz');
    N=input('no of samples');
    wc=2*pi*w;
    alpha=(N-1)/2;
    eps=.001;
    for n=0:1:N-1
        hd(n+1)=(sin(pi*(n-alpha+eps))-sin(wc*(n-alpha+eps)))/(pi*(n-alpha+eps));
    end
    wr=ones(1,N);
    hn=hd.*wr;
    w=0:.01:pi;
    h=freqz(hn,1,w);
    %absolute value plotting
    subplot(131);
    plot(w/pi,abs(h),'r');
    grid;
    xlabel('normalised freq');
    ylabel('mag');
    title('abs');
    subplot(132);
    plot(w/pi,angle(h),'g');
    xlabel('normalised freq');
    ylabel('mag');
    title('angle');
    %log magn plot
    subplot(133);
    plot(w/pi,20*log10(h),'b');
    grid;
    xlabel('normalised freq');
    ylabel('log mag');
    title('log mag');

    output

    enter frequency .25
    enter number of samples 25




    tags:fir hpf implementation using matlab matlab program for fir high pass filter design
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    1

    matlab program for fir filter low pass matlab program for fir low pass filter

  • Nfl nfl
  •  matlab program for fir low pass filter
    w=input('enter cut off frequency in hertz');
    N=input('enter number of samples');
    wc=2*pi*w;
    alpha=(N-1)/2;
    eps=.001;
    for n=0:1:N-1;
        hd(n+1)=sin(wc*(n-alpha+eps))/(pi*(n-alpha+eps));
    end
    wr=ones(1,N);
    hn=hd.*wr;
    w=0:.01:pi;
    h=freqz(hn,1,w); %frequency response
    %absolute value
    subplot(131)
    plot(w/pi,abs(h),'r');
    grid;
    xlabel('normalised frequency');
    ylabel('magnitude');
    title('absolute value');
    %angle plotting
    subplot(132)
    plot(w/pi,angle(h),'g');
    grid;
    xlabel('normalised frequency');
    ylabel('magnitude');
    title('angle');
    %log plotting
    subplot(133)
    plot(w/pi,20*log(h),'b');
    grid;
    xlabel('normalised frequency');
    ylabel('log magnitude');
    title('log magnitude');

    output
    enter cut off frequency .25
    enter number of samples 25
    tags:fir low pass filter using matlab matlab fir lpf fir filter design using matlab matlab program for fir lpf design


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    Tuesday, February 22, 2011

    0

    matlab program for sampling theorem

  • Tuesday, February 22, 2011
  • Nfl nfl
  • %sampling theorm
    clear all;
    t=-10:.01:10;                         %t vector
    T=8;                                  %time period
    fm=1/T;                               %frequency
    x=cos(2*pi*fm*t); %cos wave
    fs1=1.6*fm;                           %fs<2fm
    fs2=2*fm;                             %fs=2fm
    fs3=8*fm;                             %fs>2fm
    n1=-4:1:4;                            %index vector
    xn1=cos(2*pi*n1*fm/fs1);%aliasing
    subplot(2,2,1);
    plot(t,x);
    xlabel('time in sec');
    ylabel('x(t)');
    title('continuous time signal');
    subplot(2,2,2);
    stem(n1,xn1);                          %aliasing discrete
    hold on;
    plot(n1,xn1);                          %aliasing cont
    xlabel('n');
    ylabel('x(n)');
    title('discrete time s/g with fs<2fm');
    n2=-5:1:5;                             %time index
    xn2=cos(2*pi*n2*fm/fs2);               %fs=2fm
    subplot(2,2,3);
    stem(n2,xn2);                          %sampling for fs=2fm
    hold on;
    plot(n2,xn2);                          %ploting fs=2fm
    xlabel('n');
    ylabel('x(n)');
    title('discrete time s/g with fs=2fm');
    n3=-20:1:20;                              %time index
    xn3=cos(2*pi*n3*fm/fs3);                  %fs>2fm
    subplot(2,2,4);
    stem(n3,xn3);                             %samples for fs>2fm
    hold on;
    plot(n3,xn3);                             %ploting fs>2fm
    xlabel('n');
    ylabel('x(n)');
    title('discrete time s/g with fs>2fm');
    output
    tags:matlab program for sampling theorm sampling methods matlab sampling generation using matlab

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    0

    matlab program for triangular wave generation|triangle wave generator using matlab

  • Nfl nfl
  • %traingular wave
    a=input('enter the  no of periods');
    b=input('enter the amplitude');
    c=input('enter the no of cycles');
    %continous traingular wave
    m=2*b/a;                 %calculation of slope
    d=0;
    e=a/2;                   % half period 
    p=0;                     %pt of each -ve slope wrt
    subplot(121);
    for n=1:c                %no of cycles =no of loops
        x=d:.01:e;           %first half period
        plot(x,m*(x-(n-1)*a),'r');  %positive slope
        hold on
        p=e+a/2;
        x=e:.01:p;             %second half period
        plot(x,-1*m*(x-(n-1)*a)+b*2,'r');%negative slope
        hold on;
        d=d+a;                  % next +ve slope plot 
        e=e+a;                  %next -ve slope plot 
    end
    xlabel('no of cycles');
    ylabel('amplitude');
    title('continous trian wave');
    legend('triang wave');
    grid major;


    %discrite triangular wave
    subplot(122);
    m=2*b/a;
    d=0;
    e=a/2;
    p=0;
    for n=1:c
        x=d:.1:e;
        stem(x,m*(x-(n-1)*a));
        hold on
        p=e+a/2;
        x=e:.1:p;
        stem(x,-1*m*(x-(n-1)*a)+b*2);
        hold on;
        d=d+a;
        e=e+a;
    end
    output

    tags:matlab program for triangular wave generation trinagle wave using matlab
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    Sunday, December 5, 2010

    1

    Matlab Program for exponential wave

  • Sunday, December 5, 2010
  • Nfl nfl
  • Brief Theory
    In Exponential Wave, the amplitude varies exponentially with respect to time. Exponential Wave is expressed as y=a*exp(b*t) where a is a constant and b is the amplitude and t is the time. Exponential wave may be positive or negative exponential according to the amplitude. If amplitude is positive it is positive exponential and if amplitude is negative it is negative exponential. In this program I have written the program for positive and negative exponential both continuous and discrete.


    Program
    % positive exponential continous
    clc; %clear command window
    t=0:.1:1;
    a=input('enter the amplitude');
    y=a*exp(5*t); %calculation of exponential wave
    subplot(221); % breaks figure window into 2*2 matrix and select 1st axis for current plot
    plot(t,y); %continous plot
    title('positive exponential continous');


    %positive exponential discrete
    t=0:.1:1;
    y=a*exp(5*t);
    subplot(222); %breaks figure window into 2*1 matrix and select 2nd axis for current plot
    stem(t,y); %discrete plot
    xlabel('time');
    ylabel('amplitude');
    title('positive exponential discrete');


    % negative exponential continous
    t=0:.1:1;
    y=a*exp(-5*t);
    subplot(223);
    plot(t,y);
    title('negative exponential continous');
    xlabel('time');
    ylabel('amplitude');


    %negative exponential discrete
    t=0:.1:1;
    y=a*exp(-5*t);
    subplot(224);
    stem(t,y);
    title('negative exponential discrete');
    xlabel('time');
    ylabel('amplitude');


    input

    output










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    Monday, November 22, 2010

    0

    matlab program for amplitude modulation

  • Monday, November 22, 2010
  • Nfl nfl
  • PROGRAM

    % amplitude modulated wave

    n=0:100;
    m=0.3;fm=0.01;fc=0.1;
    xm=sin(2*pi*fm*n);
    xc=sin(2*pi*fc*n);
    y=(1+m*xm).*xc;
    stem(n,y);        
    grid;
    xlabel('time index n');
    ylabel('amplitude');


    OUTPUT
     



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    0

    MATLAB SIMULINK PROGRAM FOR DISCRETE SINE WAVE

  • Nfl nfl




  • SINE WAVE
    SOURCES->SINE WAVE

    SOURCE BLOCK PARAMETERS

    SCOPE
    SIMULINK->SINK->SCOPE
    CLICK ON PARAMETER ICON ON SCOPE DISPLAY
    GENERAL
    AXES:NO OF AXES:1
    TIME RANGE:AUTO
    SPECTRUM SCOPE
    SIGNAL PROCESSING BLOCKSET->SINKS->SPECTRUM SCOPE
    SET THE PROPERTIES AS SHOWN BELOW



    CLICK ON SIMULATION ICON ON MODEL WINDOW AND OBSERVE OUTPUT

    OUTPUT

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    0

    MATLAB SIMULINK PROGRAM FOR CONTINOUS SINE WAVE

  • Nfl nfl
  • BLOCK DIAGRAM



    PARAMETERS


    SINE WAVE
    SOURCES->SINE WAVE


    SIMULINK->SINK->SCOPE
    CLICK ON PARAMETER ICON ON SCOPE DISPLAY
    GENERAL
    AXES:NO OF AXES:1
    TIME RANGE:AUTO
    CLICK ON SIMULATION ICON ON MODEL WINDOW AND OBSERVE OUTPUT

    SOURCE BLOCK PARAMETERS



    OUTPUT


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    0

    MATLAB SIMULINK PROGRAM FOR SINE SQUARED WAVE(WAVEFORM MULTIPLICATION)

  • Nfl nfl
  • SETUP
    SPECTRUM
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    Wednesday, November 17, 2010

    0

    MATLAB PROGRAM FOR Ramp continous and discrete

  • Wednesday, November 17, 2010
  • Nfl nfl
  • PROGRAM


    % ramp continous and discrete
    n=0:.1:10;
    subplot(211);         %breaks figure window into 2*1 matrix and select 1st axis for current plot
    plot(n,n);                %plotting the value of n against n for getting ramp signal
    title('ramp continous');          
    xlabel('time');
    ylabel('amplitude');
    subplot(212);          %breaks figure window into 2*1 matrix and select 2nd axis for current plot
    stem(n,n);               %discrete plot
    title('ramp discrete');          
    xlabel('time');
    ylabel('amplitude');

    OUTPUT 

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    0

    MATLAB PROGRAM FOR Ramp Discrete GENERATION

  • Nfl nfl
  • PROGRAM

    % ramp discrete
    n=0:.1:10;
    stem(n,n);                %discrete plote the value of n against n for getting ramp signal
    title('ramp discrete');          
    xlabel('time');
    ylabel('amplitude');


    OUTPUT 

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    0

    MATLAB PROGRAM FOR Ramp continous generation

  • Nfl nfl
  • PROGRAM

    % ramp continous
    n=0:.1:10;
    plot(n,n);                %plotting the value of n against n for getting ramp signal
    title('ramp continous');          
    xlabel('time');
    ylabel('amplitude');

    OUTPUT 

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    0

    Step Wave Continous and Discrete

  • Nfl nfl
  • PROGRAM

    % step discrete and continous
    n=ones(1,20);         % creates an array of 20 elements with value 1;
    x=0:1:19;
    subplot(211);        %breaks figure window into 2*1 matrix and select 1st axis for current plot
    stem(x,n);              %discrete step wave
    title('discrete step');
    xlabel('time');
    ylabel('amplitude');
    subplot(212);    %breaks figure window into 2*1 matrix and select 2nd axis for current plot
    plot(x,n);              %continous sine wave
    title('continous step');
    xlabel('time');
    ylabel('amplitude');

    OUTPUT 



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    0

    matlab program for Step Wave Discrete

  • Nfl nfl
  • PROGRAM

    % step discrete
    n=ones(1,20);         % creates an array of 20 elements with value 1;
    x=0:1:19;              
    stem(x,n);      %discrete step wave
    title('continous step');
    xlabel('time');
    ylabel('amplitude');



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    0

    MATLAB program for Step Wave Continous generation

  • Nfl nfl
  • PROGRAM

    % step continous
    n=ones(1,20);         % creates an array of 20 elements with value 1;
    x=0:1:19;              
    plot(x,n);      %continous step wave
    title('continous step');
    xlabel('time');
    ylabel('amplitude');

    OUTPUT 


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    0

    matlab program for sine wave generation(Continous and discrete)

  • Nfl nfl
  • Program

    % continous sine wave
    t=0:.1:10;                                   %create an array t 
    a=input('enter the amplitude');
    f=input('enter the frequency');
    y=a*sin(2*pi*f*t);                      %calculation of sine wave
    plot(t,y);                                     %plot the value of t against y
    title('continous sinewave');      % title of the graph
    xlabel('time');
    ylabel('amplitude');



    output





    % discrete sine wave
    clc;                                         %clear command window
    t=0:.1:10;                               %create an array t starting from 0 and .1 is the increment and 10 final value
    a=input('enter the amplitude');
    f=input('enter the frequency');
    y=a*sin(2*pi*f*t);                    %calculation of sine wave
    stem(t,y);                                 %discrete plot the value of t against y
    title('discrete sinewave');         % title of the graph
    xlabel('time');
    ylabel('amplitude');



    OUTPUT


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