Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/4988| Title: | Application of Pradovera’s Algorithm for Adaptive Frequency Sampling in Electromagnetic Simulation |
| Authors: | Shilpa, T N Sinha, Rakesh |
| Keywords: | AAA (Adaptive Antoulas– Anderson) algorithm Adaptive frequency sampling (AFS) Electromagnetic Simulation |
| Issue Date: | Dec-2024 |
| Citation: | The IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), Bengaluru, India, 17-19 December 2024 |
| Abstract: | In this paper, we have implemented Davide Pradovera’s minimal sampling algorithm for adaptive frequency sampling in electromagnetic simulation. This algorithm is basically a modified AAA (Adaptive Antoulas– Anderson) version. Compared to the conventional AAA algorithm, this approach does not require a prior user-defined dataset to find out the next frequency sample point while meeting the specified error criteria. Pradrovera has introduced a pseudo error to find out the next frequency sample in an adaptive way incorporating the AAA algorithm. MATLAB R2023a was used to demonstrate two examples of electromagnetic simulation. This algorithm shows outstanding accuracy and speed performance. |
| Description: | Copyright belongs to the proceeding publisher. |
| URI: | http://hdl.handle.net/2080/4988 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2024_EDAPA_TNShilpa_Application.pdf | 504.6 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.