Digital Filtering with Nonuniformly Sampled Data: From the Algorithm to the Implementation

Laurent Fesquet (1) , Brigitte Bidégaray-Fesquet (2)

1 TIMA - Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés
2 EDP - Equations aux Dérivées Partielles

This chapter targets the synthesis and the design of filters using nonuniformly sampled data for use in asynchronous systems. Data is sampled with a level crossing technique. It presents several filtering strategies, namely Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters. The synthesis of filters in the frequency domain based on a level-crossing sampling scheme of the transfer function is also presented. Finally, an architecture for an hardware implementation of a FIR filter is given. This implementation is based on an asynchronous data-driven logic in order to benefit from the events produced by the asynchronous analog-to-digital converter.

Domaines: Traitement du signal et de l'image [eess.SP]; Micro et nanotechnologies/Microélectronique

Laurent Fesquet, Brigitte Bidégaray-Fesquet. Digital Filtering with Nonuniformly Sampled Data: From the Algorithm to the Implementation. Marek Miskowicz. Event-Based Control and Signal Processing, CRC Press, 2015, 9781482256550. ⟨hal-01228969⟩