Experiment 3 : Correlation


Correlation is the measure of similarity between two signals. In this experiment, we performed auto and cross-correlation. In auto-correlation, the two input signals are the same whereas, in case of cross-correlation, we compare two different signals. Next, we calculated Carl Pearson’s coefficient of correlation. This coefficient gives us the degree of similarity between two signals.

Comments

  1. Anonymous23 April 2019 at 21:48

    Very useful information.

    ReplyDelete
  2. Unknown24 April 2019 at 03:02

    Seems supremely interesting

    ReplyDelete
  3. Unknown24 April 2019 at 03:04

    Calculation of Carl Pearson really enhanced the knowledge of the system

    ReplyDelete
  4. Anonymous24 April 2019 at 05:03

    Very much useful information on Correlation

    ReplyDelete
  5. Luke Shawn Thomas24 April 2019 at 23:31

    Wow.... Can't beileve these people calculated the widely used mathematical method wherein the numerical expression is used to calculate the degree and direction of the relationship between linear related variables. Really smart people.

    ReplyDelete

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