Lino Garcia Morales

Profesor TitularUniversidad Politécnica de MadridSpain

Lino García Morales has graduated in Automatic Control Engineering at Polytechnic Institute “José A. Echeverría”. He has received a master’s degree in Systems and Communications Networks at Technical University of Madrid, PhD. in Communications Technologies and Systems at UPM, PhD. in Contemporary Artistic Practices and Art Theory at European University of Madrid. He has been professor at the Superior Institute of Art (ISA), Comillas Pontifical University (UPCO), Menéndez Pelayo International University (UIMP), Senior Lecturer of Higher Technical School (ESP) at UEM, Coordinator of Electronica and Digital Art Degree and Director of Master in Architectonic and Environmental Acoustic at UEM. At the moment he is professor at UPM. He has extensive experience in digital signal processing, adaptive filtering, digital speech and audio processing, acoustic and digital art conservation-restoration.

3books edited

Latest work with IntechOpen by Lino Garcia Morales

Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

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