Compression and signal processing using level-crossing sampling
Résumé
An important issue in the design of mobile systems is to increase their autonomy. One way to achieve this is to use asynchronous event-driven architectures. These systems take typically samples each time a level is crossed. This leads to a reduced number of samples, compared to a Nyquist sampling but they are non-uniform. Dedicated signal processing algorithms have to be developed to deal with these samples. Each single computation is usually more complex than for uniform signal processing chains, but this is largely compensated by the drastic reduction of the number of samples. This form of signal compression is in particular studied for signals with known local Hölder regularity.