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In this work, we investigate the application of the recently introduced signal decomposition method known as robust principal component analysis (RPCA) to the problem of wave separation in seismic data. The motivation of our research comes from the observation that the elements of the decomposition performed by RPCA can be associated with particular structures that often arise in seismic data. Results...
There is a growing interest in employing digital signal processing methods to compensate the distortions typical of the next generation optical systems. For instance, several works considered the multi-user constant modulus algorithm (MU-CMA) to recover the transmitted signals in Polarization Division Multiplexing (PDM) systems. In this work, the same problem is tackled through independent component...
Smart sensors arrays (SSAs) provide a flexible approach to deal with the interference problem typical of ion-selective electrodes (ISEs). The development of the core of a SSA, the signal processing algorithm, often requires a dataset containing input-output measurements. Motivated by that, this letter presents a set of experiments with arrays of ISEs. The acquired dataset is publicly available in...
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