Adaptive Rate Filtering Fora Signal Driven Sampling Scheme

This work is a contribution to enhance the signal processing chain required in mobile systems. The system must be low power as it is powered by a battery. Thus a signal driven sampling scheme based on level crossing is employed, adapting the sampling rate and so the system activity by following the input signal variations. In order to filter the non-uniformly sampled signal obtained at the output of this sampling scheme a new adaptive rate FIR filtering approach is devised. The idea is to combine the features of both uniform and nonuniform signal processing tools to achieve a smart online filtering process. The computational complexity of the proposed approach is deduced and compared to one of the classical FIR filtering approach. It promises a significant gain of the computational efficiency and hence of the processing power.