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This work is a contribution to enhance the signal processing chain required in modern systems. The idea is to take advantage of the interesting features of both event-driven and well-established uniform sampling and signal processing algorithms. In this context, authors have proposed original windowing techniques for the event-driven sampled signal, activity selection and local parameter extraction...
This work aims at implementing an asynchronous FIR adaptive filter, based on the Recursive Inverse (RI) adaptive algorithm. Previous work has presented the proposed adaptive filter algorithm and has shown that the algorithm's performance is similar to that of the Recursive Least Squares (RLS) algorithm. Moreover, it offers better performance than the Transform Domain (TD) algorithms, i.e. the TD LMS...
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