MATLAB: How to use the MATLAB FGETL function in Embedded MATLAB in Simulink 7.3 (R2009a)

MATLAB

I would like to have some file I/O in my Embedded MATLAB function, but am unable to use the mxArray type that is returned from eml.extrinsic calls.

I would like to be able to use it similar to the FGETL function in MATLAB so that I can perform operations like array indexing etc.

Best Answer

As variables in Embedded MATLAB have fixed size, you must also make sure that your call to FGETL always returns the same size. In addition you need to initialize the returned variable with the correct type and size in order to have MATLAB convert your mxArray to a character array.

In the attached example an additional MyFgetl function is used to ensure a fixed size of each returned line. In order to run the example, at the MATLAB command prompt, type:

emlmex -eg {'MyTestFile.txt'} MyTest
MyTest('MyTestFile.txt')

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MATLAB: Is it possible to have a variable length string as an input of the Embedded MATLAB function in MATLAB 7.9 (R2009b)

It is possible to specify variable length strings as inputs in Embedded MATLAB. The input argument must be prototyped using the emlcode.egs command. Attached is an example that demonstrates how this can be implemented. In order to build the MEX-file you can use the following line of code:

emlc -eg {emlcoder.egs(char(0), [1, 100])} my_eml_fcn simple.c

MATLAB: Matlab : how to get method ‘tonndata’ for input arguments for matlab

Your version is too old

function [x,wasMatrix,err] = tonndata(x,columnSamples,cellTime)

 %TONNDATA Convert data to standard neural network cell array form.
 %








 %  tonndata and fromnndata convert data from and to standard neural
 %  network form.
 %
 %  Standard neural network cell array data consists of a cell array which
 %  has as many rows as there are signals and as many columns as there are
 %  timesteps. Each i,jth element of the cell array is a matrix which has
 %  as many rows as the ith signal has elements and as many columns as
 %  there are samples.
 %
 %  [Y,wasMatrix] = tonndata(x,columnSamples,cellTime) takes matrix or cell
 %  array data X and converts it to standard neural network cell data Y. 
 %  
 %  If columnSamples is false, then matrix X or matrices in cell array X
 %  will be transposed, so row samples will now be stored as column vectors.
 %
 %  If cellTime is false, then matrix samples will be separated into columns
 %  of a cell array so time originally represented as vectors in a matrix
 %  will now be represented as columns of a cell array.
 %
 %  The returned value wasMatrix can be used by FROMNNDATA to reverse the
 %  transformation.
 %
 %  Here data consisting of six timesteps of 5-element vectors is originally
 %  represented as a matrix with six columns is converted to standard
 %  neural network representation and back.
 %
 %    x = rand(5,6)
 %    [y,wasMatrix] = tonndata(x,true,false)
 %    x2 = fromnndata(y,wasMatrix,columnSamples,cellTime)
 %
 %  Here data is defined in standard neural network data cell form.
 %  Converting this data does not change it.  The data consists of three
 %  time series samples of 2-element signals over 3 timesteps.
 %
 %  See also FROMNNDATA

Thank you for formally accepting my answer

P.S. You can convert data between matrix and cell formats without using this function

Greg

Best Answer

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MATLAB: Matlab : how to get method ‘tonndata’ for input arguments for matlab

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