Probability - Similarity Rate in the random Signal











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I have a random signal (vector) that consists of random variables varying between -2 and 2. I want to know how many similar patterns do I have in this random signal. In order to achieve this, I select first 5 points and finding similarity percentage (Correlation Coefficient) of this vector by shifting point by point in the vector. Meanwhile, I'm counting the patterns which similarity is over 95% and got 1500 similar patterns with the selected piece.
You can see the process visually here



Then selecting 8 points and shifting again point by point. For this case, I got about 800 similar patterns.
From this experiment, I learnt, as I increase the size of shifting pattern I get less number of the similar case.



Intuitively, I understand the reason for this process. But I'm searching for a mathematical equation to represent this relationship between shifting vector size and the number of similarities.










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  • No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
    – kirilloid
    Nov 12 at 23:50















up vote
0
down vote

favorite












I have a random signal (vector) that consists of random variables varying between -2 and 2. I want to know how many similar patterns do I have in this random signal. In order to achieve this, I select first 5 points and finding similarity percentage (Correlation Coefficient) of this vector by shifting point by point in the vector. Meanwhile, I'm counting the patterns which similarity is over 95% and got 1500 similar patterns with the selected piece.
You can see the process visually here



Then selecting 8 points and shifting again point by point. For this case, I got about 800 similar patterns.
From this experiment, I learnt, as I increase the size of shifting pattern I get less number of the similar case.



Intuitively, I understand the reason for this process. But I'm searching for a mathematical equation to represent this relationship between shifting vector size and the number of similarities.










share|cite|improve this question






















  • No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
    – kirilloid
    Nov 12 at 23:50













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have a random signal (vector) that consists of random variables varying between -2 and 2. I want to know how many similar patterns do I have in this random signal. In order to achieve this, I select first 5 points and finding similarity percentage (Correlation Coefficient) of this vector by shifting point by point in the vector. Meanwhile, I'm counting the patterns which similarity is over 95% and got 1500 similar patterns with the selected piece.
You can see the process visually here



Then selecting 8 points and shifting again point by point. For this case, I got about 800 similar patterns.
From this experiment, I learnt, as I increase the size of shifting pattern I get less number of the similar case.



Intuitively, I understand the reason for this process. But I'm searching for a mathematical equation to represent this relationship between shifting vector size and the number of similarities.










share|cite|improve this question













I have a random signal (vector) that consists of random variables varying between -2 and 2. I want to know how many similar patterns do I have in this random signal. In order to achieve this, I select first 5 points and finding similarity percentage (Correlation Coefficient) of this vector by shifting point by point in the vector. Meanwhile, I'm counting the patterns which similarity is over 95% and got 1500 similar patterns with the selected piece.
You can see the process visually here



Then selecting 8 points and shifting again point by point. For this case, I got about 800 similar patterns.
From this experiment, I learnt, as I increase the size of shifting pattern I get less number of the similar case.



Intuitively, I understand the reason for this process. But I'm searching for a mathematical equation to represent this relationship between shifting vector size and the number of similarities.







probability computer-science random bayesian






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Nov 12 at 17:04









Tarlan Ahad

63




63












  • No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
    – kirilloid
    Nov 12 at 23:50


















  • No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
    – kirilloid
    Nov 12 at 23:50
















No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
– kirilloid
Nov 12 at 23:50




No idea how do you define similarity, but if the signal is random, then you just need to calculate probability. Define the process and how similarity defined and you’lol get a clear picture.
– kirilloid
Nov 12 at 23:50















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