Compressed sensing : a new way to design chips ?

par Yannick Boursier (CPPM)

lundi 29 oct. 2012, 14:00 → 15:00 Europe/Paris

Amphithéâtre (CPPM)

From 2004 to today, the research topic "Compressed Sensing" (CS) has become popular in applied mathematics, signal processing, and information theory, and was applied to fields as distant as computational biology and astronomical image processing. The theory of compressed sensing demonstrates that for sparse or compressible signals, a small number of random measurements, below the Nyquist rate, will suffice for an accurate and stable reconstruction. Thus, CS claims to correctly solve systems of equations with fewer equations than unknowns. Some success stories for CS have lead to the reduction of acquisition times (e.g. in Magnetic Resonance Imaging), improvement of the quality of acquired signals/images (e.g. in Radio Interferometry), and also to the design of new devices totally thought through the prism of Compressed Sensing, from the sensor to the chip. This talk will recall the Compressed Sensing principles and then present several applications, including very recent devices that have been designed and constructed on the base of the CS theory.