Spatial Signal Processing

Spatial Signal Processing tries to draw conclusions about sources of physical fields and possibly about the geometry and physical properties of a spatial domain using underlying mathematical models and distributed observations of the field itself. The kind of problems we worked on in the past include ultrasound tomography and characterization of physical fields driven by the wave equation and the diffusion equation, and you are welcome to browse pages of past project to find more details.

Currently, we put more focus on localizing acoustic and light sources, inferring room geometry, or even going a step further to combine acoustic localization and mapping into a single procedure — the infamous acoustic SLAM.

Recent LCAV publications in this area:

Relax and Recover: Guaranteed Range-Only Continuous Localization

M. Pacholska; F. Dümbgen; A. J. Scholefield 

2020-04-01. IEEE Robotics and Automation Letters. p. 2248-2255. DOI : 10.1109/LRA.2020.2970952.

DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging

M. M. J-A. Simeoni; S. Kashani; P. Hurley; M. Vetterli 

2019-12-16. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), Vancouver, British Columbia, Canada, December 9-14, 2019.

Multi-Modal Probabilistic Indoor Localization on a Smartphone

F. Dümbgen; C. Oeschger; M. Kolundzija; A. J. Scholefield; E. Girardin et al. 

2019. IPIN 2019 – 10th International Conference on Indoor Positioning and Indoor Navigation, Pisa, Italy, 30 Sept. – 3 Oct. 2019.

Towards Real-Time High-Resolution Interferometric Imaging with Bluebild

S. Kashani 

2017-08-01.

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

H. Pan; M. M. J-A. Simeoni; P. Hurley; T. Blu; M. Vetterli 

Astronomy & Astrophysics. 2017. Vol. 608, p. A136. DOI : 10.1051/0004-6361/201731828.

Acoustic DoA Estimation by One Unsophisticated Sensor

D. El Badawy; I. Dokmanic; M. Vetterli 

2017. 13th International Conference on Latent Variable Analysis and Signal Separation, Grenoble, France, February 21-23, 2017. p. 89-98. DOI : 10.1007/978-3-319-53547-0_9.

Omnidirectional bats, point-to-plane distances, and the price of uniqueness

M. Krekovic; I. Dokmanic; M. Vetterli 

2017. 42nd International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, March 5-9, 2017. p. 3261-3265.

Look, no beacons! Optimal all-in-one EchoSLAM

M. Krekovic; I. Dokmanic; M. Vetterli 

2016. 50th Asilomar Conference on Signals, Systems, and Computers, Asilomar, Pacific Grove, CA, November 6-9, 2016.

EchoSLAM: Simultaneous Localization and Mapping with Acoustic Echoes

M. Krekovic; I. Dokmanic; M. Vetterli 

2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 20-25 March 2016. p. 11-15.

From Acoustic Room Reconstruction to SLAM

I. Dokmanic; L. Daudet; M. Vetterli 

2016. 41st International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, March 20-25, 2016. p. 6345-6349.

Sampling Sparse Signals on the Sphere: Algorithms and Applications

I. Dokmanic; Y. M. Lu 

IEEE Transactions on Signal Processing. 2016. Vol. 64, num. 1, p. 189-202. DOI : 10.1109/Tsp.2015.2478751.

How to Localize Ten Microphones in One Fingersnap

I. Dokmanic; L. Daudet; M. Vetterli 

2014. 22nd European Signal Processing Conference, Lisbon, Portugal, September 1-5, 2014. p. 2275-2279.

Acoustic Echoes Reveal Room Shape

I. Dokmanic; R. Parhizkar; A. Walther; Y. M. Lu; M. Vetterli 

Proceedings of the National Academy of Sciences. 2013. Vol. 110, num. 30, p. 12186-12191. DOI : 10.1073/pnas.1221464110.

LCAV-SSP