![]() ![]() ![]() You can compile this C code, and verify that it is working well: Void gauss_filter_3_3(double B_data, double A_data) // gauss_filter.sce(14:1-25): B = gauss_filter_3_3(A) If you now simply add a call to the variable B at the last line of your Scilab script and regenerate the code, you will end up with this: // Automatically generated by emmtrix Code Generator (01:14:08) // Installation: /srv/// Command Line Arguments: gauss_filter.sce -makefile=gnumake -report-includefiles=1 // Output Language: C99 (ISO/IEC 9899:1999) This is how the generated code looks like: You can see that many results are returned in a folder called build by default. Gauss_filter.sce(14,1-2), W00053 Warning, Variable B not used.īuild succeeded. Generating files in C:\Users\badmo\AppData\Local\Temp\SCI_TMP_11348_18407\build Once the calling sequences is clarified, you can generate the code: The code generator needs to know here that the gauss_filter function will be called by a matrix of double with a size 10x10. You cannot simply generate a function (or a. If you represent A & B with the function Matplot, you will clearly understand the impact of the Gaussian filter function:Īlso, you can have a look at the data in the variable editor:įirst important thing to notice is that you need to clarify the calling sequences of the code you aim at generating. Let us write a simple script describing the call of a gaussian filter, on a matrix B of size 10x10. The first format calculates the filter output by recursion and the second format calculates the filter output by transform.This tutorial aims at presenting the new Scilab Code Generator:Ī gaussian filter s a filter whose impulse response is a Gaussian function ( Wikipedia) Filtering of Signalsįiltering of signals by linear systems (or computing the time response of a system) is done by the function flts which has two formats. The fourth element of h1 is set using the function syslin and then using tf2ss the state-space representation is obtained in list form. Here the transfer function of a discrete IIR filter is created using the function iir (see Section 4.2). The second function ss2tf works in the opposite sense. The first function tf2ss converts systems described by a transfer function to a system described by state space representation. In the event where it is desirable to change the representation of a linear system there exists two Scilab functions which are available for this task. ![]() ![]() Sometimes linear systems are described by their transfer function and sometimes by their state equations. State-space descriptions of systems in Scilab use the syslin function. Where A, B, C, and D are matrices and x0 is a vector and for a discrete time system takes the form The classical state-space description of a continuous time linear system is : demonstrate evaluation of discrete filter //on the unit circle in the z-plane The poly primitive in Scilab can be used to specify the coefficients of a polynomial or the roots of a polynomial. Polynomials are easily created and manipulated. Polynomials, matrix polynomials and transfer matrices are also defined and Scilab permits the definition and manipulation of these objects in a natural, symbolic fashion. Polynomials and System Transfer Functions This article is detailing the very rich paper on Signal Processing in Scilab. ![]()
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