Whereas most blind source separation (BSS) and blind mixture identification (BMI)
investigations concern linear mixtures (instantaneous or not), various recent works extended …

Since its origins in the mid-1980s, the field of blind source separation (BSS) has attracted
considerable attention within the signal processing community. One of the main reasons for …

Potentiometry with ion-selective electrodes (ISEs) provides a simple and cheap approach for
estimating ionic activities. However, a well-known shortcoming of ISEs regards their lack of …

In this paper, a review of the conceptual and practical aspects of the aiNet (Artificial Immune
Network) family of algorithms will be provided. This family of algorithms started with the aiNet …

In this paper, we address the problem of blind compensation of nonlinear distortions. Our
approach relies on the assumption that the input signal is bandlimited. We then make use of …

As shown recently, the interference problem typical of ion-selective electrodes can be dealt
with via smart arrays adjusted by blind source separation methods. In this letter, we resume …

In this paper we propose a blind source separation method to process the data acquired by
an array of ion-selective electrodes in order to measure the ionic activity of different ions in …

Ion-selective electrodes (ISE) offer a practical approach for estimating ionic activities.
Nonetheless, such devices are not selective, ie, the ISE response can be affected by …

This is the second part of the introductory tutorial about information theoretic learning, which,
after the theoretical foundations presented in Part I, now discusses the concepts of …

In this work, we propose a new method for source separation of post-nonlinear mixtures that
combines evolutionary-based global search, gaussianization and a local search step based …