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Hi.
What I meant in the prev thread ippsMean 1 , ippsMeanColumn has the solution in how to make the averages for example in the FFT , let's suppose to have 1024 of FFT's beans magnetudes and we want to average them for 20 times , with ippsMeanColumn simple giving the 1024x20 array's pointer you have the result for each column in one 1024 1D array . no loop just one call , what Isee with ippsMean instead you have just a number for the average of one row, seem to be another job . Is this right ? or what else now can do the mentioned FFT job ?
Thanks
Cartu
What I meant in the prev thread ippsMean 1 , ippsMeanColumn has the solution in how to make the averages for example in the FFT , let's suppose to have 1024 of FFT's beans magnetudes and we want to average them for 20 times , with ippsMeanColumn simple giving the 1024x20 array's pointer you have the result for each column in one 1024 1D array . no loop just one call , what Isee with ippsMean instead you have just a number for the average of one row, seem to be another job . Is this right ? or what else now can do the mentioned FFT job ?
Thanks
Cartu
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Cartu,
could you please compare performance of loop of 20 iterations of calls ippsMean from 7.0 with performance of ippsMeanColumn from 6.1? I actually do not think there is big difference in performance.
Regards,
Vladimir
could you please compare performance of loop of 20 iterations of calls ippsMean from 7.0 with performance of ippsMeanColumn from 6.1? I actually do not think there is big difference in performance.
Regards,
Vladimir
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I think the two are not analogous. When we want to average across a set of vectors, the data is not aligned such that ippsMean can be used. If it were, it might mean thousands of calls to ippsMean.
The preferred alternative is, I think, is to use ippsAdd_*_I repeatedly, followed by an ippsDivC_*_I.
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