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1) I want to build a project using the HDL import, so I chose standart blockset.
2) I saw a working example of the combination of Standart and Advanced blockset - adapted_ad9856.mdl, and I want use blocks FFT and Cordic from advanced blockset. But errors has occuring: http://www.alteraforum.com/forum/attachment.php?attachmentid=10509&stc=1 http://www.alteraforum.com/forum/attachment.php?attachmentid=10508&stc=1 http://www.alteraforum.com/forum/attachment.php?attachmentid=10510&stc=1 http://www.alteraforum.com/forum/attachment.php?attachmentid=10511&stc=1 How I can implement input complex signal from Standart blockSet? Maybe there's HDL imports in the Advanced blockset? matlab file .mdl http://ge.tt/4fvtvqe2Link Copied
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Hi all! I figured out the problem posed.
Model:https://www.alteraforum.com/forum/attachment.php?attachmentid=10516 Input func:https://www.alteraforum.com/forum/attachment.php?attachmentid=10514 Furrier coeff:https://www.alteraforum.com/forum/attachment.php?attachmentid=10515 OutputFunc:https://www.alteraforum.com/forum/attachment.php?attachmentid=10517 Now, I want to know: How can I reduce the number of Fourier coefficients. I want to make the Fourier transform of the period of 8192 points. But I do not want all of 8192 coefficients , I will have enough and no more than 20. Matlab file: http://ge.tt/1vjrite2- Mark as New
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I solved all problems =) model works =)
I want to make the Fourier transform of the period of 8192 points. But I do not want all the 8192 coefficients, I will have enough and no more than 20. How i can get only first 20 and usage only 20 for retriving function, then improve performance and minimize the cost of memory for storing coefficients. Work model http://ge.tt/1vjrite2 - adaptedModelWithCordic.mdl- Mark as New
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I solved all problems =) model works =)
I want to make the Fourier transform of the period of 8192 points. But I do not want all the 8192 coefficients, I will have enough and no more than 20. How i can get only first 20 and usage only 20 for retriving function, then improve performance and minimize the cost of memory for storing coefficients.
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