Wavelet methods for shape perception in electro-sensing
This work addresses shape perception in electro-sensing, which is incremental as it applies wavelets to an existing problem.
The paper tackles the electro-sensing problem by developing a wavelet-based algorithm for shape recognition from micro-electrical impedance measurements, achieving quantified stability and resolution in numerical simulations.
This paper aims at presenting a new approach to the electro-sensing problem using wavelets. It provides an efficient algorithm for recognizing the shape of a target from micro-electrical impedance measurements. Stability and resolution capabilities of the proposed algorithm are quantified in numerical simulations.