Event-based signal processing
Jan 1, 2006

Collaboration with Laurent Fesquet (TIMA).
Frameworks: E-BaCCuSS Persyval project team (2015–2019), CEE Persyval exploratory project (2013–2015).
We have delopped a whole range of signal processing algorithms for non uniform in time samples captured by asynchronous systems.
- Finite impuse response (FIR) and Infinite impulse response (IIR) filters.
- Specific flters in the frequency domain. They ensure high order filtering with a very low number of flter and signal samples, at the cost of unitary more complex computations.
- Non-uniform sampling issues.
A book chapter gathers many of these issues.
Ongoing and future works deal with even more efficient algorithms simplifiying these computations or co-designing sampling and signal processing for specific applications.
Related
Publications
We theoretically describe and give the proof of a new way to synthesize filters that are affine in the log–log scale in the frequency …
Brigitte Bidegaray-Fesquet,
Laurent Fesquet
There are many ways to nonuniformly sample a signal, the most widely used, but not only, way to perform it being level crossing. The …
Brigitte Bidegaray-Fesquet,
Laurent Fesquet
This chapter targets the synthesis and the design of filters using nonuniformly sampled data for use in asynchronous systems. Data is …
Laurent Fesquet,
Brigitte Bidegaray-Fesquet
We investigate the impact of additive noise and uncertainty on levels (offset) on the filtering of level-crossing sampled data. We …
Brigitte Bidegaray-Fesquet
Based on non-uniform sampling techniques and event-driven logic, signal processing is evolving to integrate new demands such as power …
Jean Simatic,
Laurent Fesquet,
Brigitte Bidegaray-Fesquet
The reduction of the number of samples is a key issue in signal processing for mobile applications. We investigate the link between the …
Brigitte Bidegaray-Fesquet,
Marianne Clausel
We address the problem of quantifying the number of samples that can be obtained through a level crossing sampling procedure for …
Brigitte Bidegaray-Fesquet,
Marianne Clausel
We propose a filtering technique which takes advantage of the possibility of using a very low number of samples for both the signal and …
Brigitte Bidegaray-Fesquet,
Laurent Fesquet
We propose a filtering technique which takes advantage of a specific non-uniform sampling scheme which allows the capture of a very low …
Brigitte Bidegaray-Fesquet,
Laurent Fesquet
This article describes a new kind of processing chain based on a non-uniform sampling scheme provided by a level-crossing ADC. The …
Laurent Fesquet,
Brigitte Bidegaray-Fesquet
Today signal processing systems uniformly sample analog signals without taking advantage of their intrinsic properties. For instance, …
Laurent Fesquet,
Gilles Sicard,
Brigitte Bidegaray-Fesquet