Is standard deviation defiined for Hamming norm












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Is there a way to define the concept of standard deviation for binary norms like Hamming norm?



For two words (in most general case - sequences of symbols from a given alphabet) of the same length, Hamming norm gives a number of different letters. If we have a series of words $A = { x_i }$, $i = 1, ..., N$, and also a reference word $x_0$, we can measure Hamming distance $H_i$ between each word $x_i$ and reference word $x_0$.



How can we introduce a concept of average word $langle x rangle$ to then come to a definition of standard deviation which would characterise how individual words $x_i$ are scattered?










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    1












    $begingroup$


    Is there a way to define the concept of standard deviation for binary norms like Hamming norm?



    For two words (in most general case - sequences of symbols from a given alphabet) of the same length, Hamming norm gives a number of different letters. If we have a series of words $A = { x_i }$, $i = 1, ..., N$, and also a reference word $x_0$, we can measure Hamming distance $H_i$ between each word $x_i$ and reference word $x_0$.



    How can we introduce a concept of average word $langle x rangle$ to then come to a definition of standard deviation which would characterise how individual words $x_i$ are scattered?










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      Is there a way to define the concept of standard deviation for binary norms like Hamming norm?



      For two words (in most general case - sequences of symbols from a given alphabet) of the same length, Hamming norm gives a number of different letters. If we have a series of words $A = { x_i }$, $i = 1, ..., N$, and also a reference word $x_0$, we can measure Hamming distance $H_i$ between each word $x_i$ and reference word $x_0$.



      How can we introduce a concept of average word $langle x rangle$ to then come to a definition of standard deviation which would characterise how individual words $x_i$ are scattered?










      share|cite|improve this question









      $endgroup$




      Is there a way to define the concept of standard deviation for binary norms like Hamming norm?



      For two words (in most general case - sequences of symbols from a given alphabet) of the same length, Hamming norm gives a number of different letters. If we have a series of words $A = { x_i }$, $i = 1, ..., N$, and also a reference word $x_0$, we can measure Hamming distance $H_i$ between each word $x_i$ and reference word $x_0$.



      How can we introduce a concept of average word $langle x rangle$ to then come to a definition of standard deviation which would characterise how individual words $x_i$ are scattered?







      norm standard-deviation






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      share|cite|improve this question










      asked Jan 21 at 15:18









      scrutariscrutari

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