Graph filters are an essential part of signal processing on graphs enabling one to modify the spectral content of the graph signals. This paper proposes a graph filter optimization method with an exact control of the ripple on the passband and the stopband of the filter. The proposed filter design method is based on the sum-of-squares representation of positive polynomials. The optimization of both FIR and ARMA graph filters is convex with the proposed method.
|Title of host publication||EUSIPCO 2019 - 27th European Signal Processing Conference|
|Publisher||European Signal Processing Conference, EUSIPCO|
|Number of pages||5|
|Publication status||Published - 2019|
|Event||27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain|
Duration: 2 Sep 2019 → 6 Sep 2019
|Conference||27th European Signal Processing Conference, EUSIPCO 2019|
|Period||2/09/19 → 6/09/19|
Bibliographical noteGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
- Convex optimization
- Filter design
- Graph filters