Matthieu Simeoni  Matthieu Simeoni photo       

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PhD Student
Zurich Research Laboratory, Zurich, Switzerland


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Professional Associations:  IEEE   |  IEEE Signal Processing Society

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More information:  My LinkedIn profile  |  EPFL Personal Webpage  |  Interview

Matthieu's research work takes root in a multidisciplinary environment at the frontier between signal processing, statistics and applied mathematics. He is notably interested in the sensing, processing and estimation of Gaussian random fields with sensor arrays. Among the various applications investigated by Matthieu as part of his work, one counts: medical imagery, radio-astronomy, sound localisation, wireless networks... Some are listed below.


The Bluebild algorithm is an imager for radio interferometric data.  It reconstructs the image directly on the celestial sphere, producing, for the first time, atrue least-square estimate of the sky. Wide-field and flexible beamformed imaging follow naturally. It produces a continuous image description that may be stored independently of resolution, and sampled up to the fundamental telescope limit. A multi-scale sky decomposition becomes an intrinsic part of the process, and algorithmic linearity permits uncertainty assessment across the chain. The algorithm is fast, far simpler and more intuitive than previous methods.
Related work:


Flexibeam is a versatile beamforming framework, allowing tractable and stable determination of beamforming weights for a given target radiation pattern. Multiple areas may be targeted simultaneously. In communications applications, channel information updates can be reduced, and movement accounted for. A WiFi demonstration shows that more flexible beam-shapes can be beneficial for real-life examples, factoring in attenuation. Flexibeam was also investigated in the context of mobile networks and radio astronomy.
     Related work:


Flexarray is a method for designing phased-arrays according to a given, analytically-specified, target beamshape. Building on the flexibeam framework, antenna locations are sampled from a probabilistic density function. Naturally scalable with the number of antennas, it is also computationally efficient and numerically stable, as it relies on analytical derivation. Under mild conditions, the achieved beamshapes converge uniformly to the target beamshapes as the number of antennas increases.

Related work:

Related patent:


Sinobeam is a beamforming technique for Positron Emission Tomography (PET) data. The beamforming weights are sampled from an analytically-specified beamforming function. The focused beamformer can be used for imaging purposes by scanning the imaging domain. The resulting imaging algorithm is extremely efficient, while presenting better resolution and contrast than state of the art methods. 

Related work:

Sound Field Recovery

The Bluebild algorithm was also tested for recovering the ambient acoustic field from the Pyramic array, a 48 microphone array developed at EPFL. A real-time demo (see video below) was designed and presented at the IEEE International Conference on Acoustics and Audio Processing (ICASSP).