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.

Event-based
Brigitte Bidegaray-Fesquet
Brigitte Bidegaray-Fesquet
Researcher

Related

Publications

A new synthesis approach for non-uniform filters in the log-scale: proof of concept
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
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Levels, peaks, slopes... which sampling for which purpose?
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
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Digital Filtering with Nonuniformly Sampled Data: From the Algorithm to the Implementation
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
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Noise and offset in the IIR filtering of event-based sampled data
We investigate the impact of additive noise and uncertainty on levels (offset) on the filtering of level-crossing sampled data. We …
Brigitte Bidegaray-Fesquet
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Correctly Sizing FIR Filter Architecture in the Framework of Non-uniform Sampling
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
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Data driven sampling of oscillating signals
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
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Data driven sampling of oscillating signals
Level crossing sampling of strongly monoHölder functions
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
Cite Project
Non-Uniform Filter Design in the Log-Scale
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
Cite Project
Non-uniform filter interpolation in the frequency domain
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
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Non-uniform filter interpolation in the frequency domain
IIR digital filtering of non-uniformly sampled signals via state representation
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
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IIR digital filtering of non-uniformly sampled signals via state representation
Targeting ultra-low power consumption with non-uniform sampling and filtering
Today signal processing systems uniformly sample analog signals without taking advantage of their intrinsic properties. For instance, …
Laurent Fesquet, Gilles Sicard, Brigitte Bidegaray-Fesquet
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Targeting ultra-low power consumption with non-uniform sampling and filtering
A fully non-uniform approach to FIR filtering
We propose a FIR filtering technique which takes advantage of the possibility of using a very low number of samples for both the signal …
Brigitte Bidegaray-Fesquet, Laurent Fesquet
PDF Cite Project
A fully non-uniform approach to FIR filtering