"for" loop for strings?
in [Matlab]
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From: us on 25 Jun 2010 07:17 "Enrique Gil" <gile(a)msoe.edu> wrote in message <i022f4$1pd$1(a)fred.mathworks.com>... > "Andy " <theorigamist(a)gmail.com> wrote in message <hvvv30$eb0$1(a)fred.mathworks.com>... > > While you're at it, instead of having ten different variables, have one array of variables AM(1), AM(2), etc. Write your algorithm as > > > > function output = myalgorithm(AMn) > > ... > > end > > > > Then: > > > > for ix = 1:10 > > output(ix) = myalgorithm(AM(ix)); > > end > > > Hey Andy, > > Thanks for your help. I am actually still struggling a bit with the syntax. Let me give you a simple example from my code and see how you would implement this. There are much much larger algorithms that I must apply, but for simplicty I'll just use applying a filter. First of all I need to load .mat file which contains all the variables. Each of these variables contains a different sized matrix. I must then design my low-pass filter (already designed) and apply it to each of the variables. However, I need to also create a new variable which contains the filtered version for each of the original variables. For instance, the original is AM_1 and I need to create AM_filt_1. Note that this is just one of the "algorithms" within my m-file and a few other ones must be applied afterwards without user input such as interpolations, curve fittings, etc. I guess, I'm just not sure where > to place the algorithms given I use a function as you suggested before. > > Thank you so much for your help! well... CSSMers see a lot of words but not the (promised) ...example from my code... us
From: Andy on 25 Jun 2010 09:09 "Enrique Gil" <gile(a)msoe.edu> wrote in message <i022f4$1pd$1(a)fred.mathworks.com>... > "Andy " <theorigamist(a)gmail.com> wrote in message <hvvv30$eb0$1(a)fred.mathworks.com>... > > While you're at it, instead of having ten different variables, have one array of variables AM(1), AM(2), etc. Write your algorithm as > > > > function output = myalgorithm(AMn) > > ... > > end > > > > Then: > > > > for ix = 1:10 > > output(ix) = myalgorithm(AM(ix)); > > end > > > Hey Andy, > > Thanks for your help. I am actually still struggling a bit with the syntax. Let me give you a simple example from my code and see how you would implement this. There are much much larger algorithms that I must apply, but for simplicty I'll just use applying a filter. First of all I need to load .mat file which contains all the variables. Each of these variables contains a different sized matrix. I must then design my low-pass filter (already designed) and apply it to each of the variables. However, I need to also create a new variable which contains the filtered version for each of the original variables. For instance, the original is AM_1 and I need to create AM_filt_1. Note that this is just one of the "algorithms" within my m-file and a few other ones must be applied afterwards without user input such as interpolations, curve fittings, etc. I guess, I'm just not sure where > to place the algorithms given I use a function as you suggested before. > > Thank you so much for your help! % have this as a subfunction or as a separate m-file: function output = myfilter(input) % your filter goes here end In your main code, stop using AM_1, AM_2, etc. If these are arrays of different sizes, then store them in a cell array: AM{1} = AM_1, AM{2} = AM_2, etc. Store the filtered output in a cell array as well. Replace the code I gave earlier with: for ix = 1:10 AM_filt{ix} = myfilter(AM{ix}); end In MATLAB, it is almost never a good idea to have multiple variables named name_1, name_2, name_3, etc. Whenever you do this, it is probably better to put all of these variables together in an array or cell array.
From: dpb on 25 Jun 2010 09:14 Andy wrote: .... >> ... However, I need to also create a new variable which >> contains the filtered version for each of the original variables. For >> instance, the original is AM_1 and I need to create AM_filt_1. ... > > % have this as a subfunction or as a separate m-file: > function output = myfilter(input) > % your filter goes here > end > > In your main code, stop using AM_1, AM_2, etc. If these are arrays of > different sizes, then store them in a cell array: AM{1} = AM_1, AM{2} = > AM_2, etc. Store the filtered output in a cell array as well. Replace > the code I gave earlier with: > > for ix = 1:10 > AM_filt{ix} = myfilter(AM{ix}); > end > > In MATLAB, it is almost never a good idea to have multiple variables > named name_1, name_2, name_3, etc. Whenever you do this, it is probably > better to put all of these variables together in an array or cell array. And I'll reiterate to go read the FAQ to which I posted a URL about or near the first response to your original query (you being OP, not Andy). --
From: someone on 25 Jun 2010 10:28
"Enrique Gil" <gile(a)msoe.edu> wrote in message <i022f4$1pd$1(a)fred.mathworks.com>... > "Andy " <theorigamist(a)gmail.com> wrote in message <hvvv30$eb0$1(a)fred.mathworks.com>... > > While you're at it, instead of having ten different variables, have one array of variables AM(1), AM(2), etc. Write your algorithm as > > > > function output = myalgorithm(AMn) > > ... > > end > > > > Then: > > > > for ix = 1:10 > > output(ix) = myalgorithm(AM(ix)); > > end > > > Hey Andy, > > Thanks for your help. I am actually still struggling a bit with the syntax. Let me give you a simple example from my code and see how you would implement this. There are much much larger algorithms that I must apply, but for simplicty I'll just use applying a filter. First of all I need to load .mat file which contains all the variables. Each of these variables contains a different sized matrix. I must then design my low-pass filter (already designed) and apply it to each of the variables. However, I need to also create a new variable which contains the filtered version for each of the original variables. For instance, the original is AM_1 and I need to create AM_filt_1. Note that this is just one of the "algorithms" within my m-file and a few other ones must be applied afterwards without user input such as interpolations, curve fittings, etc. I guess, I'm just not sure where > to place the algorithms given I use a function as you suggested before. > > Thank you so much for your help! You REALLY need to read & understand the answer to Q4.6 of the MATLAB FAQ at: http://matlabwiki.mathworks.com/MATLAB_FAQ as dbp suggested. |