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| Title: | ACES Express Journal September 2018 Cover |
| File Type: | Express Journal Paper |
| Issue: | Volume: 33 Number: 9 Year: 2018 |
| Download Link: | Click here to download PDF File Size: 2163 KB |
| Title: | ACES Express Journal September 2018 Front/Back Matter |
| File Type: | Express Journal Paper |
| Issue: | Volume: 33 Number: 9 Year: 2018 |
| Download Link: | Click here to download PDF File Size: 838 KB |
| Title: | ACES Express Journal September 2018 Full |
| File Type: | Express Journal Paper |
| Issue: | Volume: 33 Number: 9 Year: 2018 |
| Download Link: | Click here to download PDF File Size: 15688 KB |
| Title: | Data-Driven Arbitrary Polynomial Chaos for Uncertainty Quantification in Filters |
| Abstract: | A non-intrusive arbitrary polynomial chaos (aPC) method is applied to a problem of a band-stop filter with geometrical imperfections. The construction of aPC scheme only requires evaluating a finite number of moments, and does not involve assigning analytical probability density functions for the uncertain parameters of a stochastic model. Therefore, aPC is well suited for applications where the uncertain parameters are represented by raw data samples, as with the case of experimental measurements. The numerical examples show that the aPC approach is accurate even with a limited number of input samples. |
| Author(s): | O. J. Alkhateeb, N. Ida |
| File Type: | Express Journal Paper |
| Issue: | Volume: 33 Number: 9 Year: 2018 |
| Download Link: | Click here to download PDF File Size: 1795 KB |