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Re: a function for computing bursts of errors
From: |
Stefan van der Walt |
Subject: |
Re: a function for computing bursts of errors |
Date: |
Wed, 2 Mar 2005 03:06:37 +0200 |
User-agent: |
Mutt/1.5.6+20040907i |
Hi Francesco
There is a good old American (?) saying:
"If it ain't broke don't fix it"
Unless you have specific problems (maybe you have HUGE vectors and
want to minimise memory usage), I don't see the need to change
anything.
As for memory usage:
octave:8> x = ones(1000);
octave:9> y = logical(x);
octave:10> whos
...
*** local user variables:
Prot Name Size Bytes Class
==== ==== ==== ===== =====
rwd x 1000x1000 8000000 matrix
rwd y 1000x1000 1000000 bool matrix
Regards
Stefan
On Tue, Mar 01, 2005 at 09:20:57AM +0100, Francesco Potorti` wrote:
> Say I have a list of 1's and 0's, each 1 representing a rare event (an
> error), each 0 representing a normal event (no error). I want to
> compute the distribution of error burst lengths. This function makes an
> array where each element, one per error burst, contains the burst
> length.
>
> Now that I discovered about bool values, is there a way that I could
> take advantage of boolean arrays in this function?
>
> ===File /home/pot/math/octavelib/tsa/bursts.m===============
> function b = bursts(x)
>
> ## usage: B = bursts (X)
> ##
> ## Given a matrix X, return the number of bursts of different lengths.
> ##
> ## A burst of length n is a sequence of n values different from 0,
> ## delimited either by zero values or the start or end of the vector.
> ##
> ## Francesco Potortì <address@hidden>, 2004
> ## License: GNU GPL <http://www.gnu.org/licenses/gpl.html>
>
> if (nargin != 1)
> usage ("B = bursts (X)");
> endif
>
> if (!isvector(x))
> error ("bursts: x must be a vector");
> endif
>
> ## Make x a column vector of ones where different from 0.
> if (columns(x) != 1)
> x = x';
> endif
> x = !x;
>
> ## Find the places where there is a 1, then compute the burst lenghts.
> b = diff([0;find(x);rows(x)+1])-1;
>
> ## Remove the zero-length bursts
> b = b(b>0);
> endfunction
> ============================================================
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