Autocorrelation in MATLAB | MATRIX METHOD | DSP

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  • Опубликовано: 9 ноя 2024

Комментарии • 13

  • @KnowledgeAmplifier1
    @KnowledgeAmplifier1  5 лет назад +7

    Code :
    clc
    clear all
    close all
    x=input('Enter the sequence');
    n1=input('Enter the time sample range:');
    h=fliplr(x);
    n2=-fliplr(n1);
    z=[];
    for i=1:length(x)
    g=h.*x(i);
    z=[z;g];
    end
    [r c]=size(z);
    k=r+c;
    t=2;
    y=[];
    cd=0;
    while(t

  • @gamerzombie42
    @gamerzombie42 2 года назад +1

    Thank you so much. It is really appreciated.

  • @kinjalmacwan4866
    @kinjalmacwan4866 3 года назад

    Thank you! Much helpful explanation.

  • @ewang0212
    @ewang0212 3 года назад +1

    I believe the contents of this clip is good, however you talk in the "fast and furious" manner, make it hardly understandable, deviate the purpose of making it.

  • @kumudinigandhesiri7149
    @kumudinigandhesiri7149 4 года назад

    could you pls explain on Wiener-Khintchine relation using power spectrum of given signal

  • @karthikeyatsvr3838
    @karthikeyatsvr3838 2 года назад +1

    what if we have two inputs given ??

    • @KnowledgeAmplifier1
      @KnowledgeAmplifier1  2 года назад

      Then in that case , it is cross-correlation KARTHIKEYA TSVR , for cross-correlation , you can refer this -- ruclips.net/video/xS8x6oAeg_U/видео.html Happy Learning

  • @thewodrosayele4636
    @thewodrosayele4636 4 года назад

    Thank you so much

  • @human_being9
    @human_being9 2 года назад +1

    Thankyou so much.