Riccardo Poli (ed.); Hans-Michael Voigt (ed.); Stefano Cagnoni (ed.); David Corne (ed.); George D. Smith (ed.); Te Fogarty Springer (1999) Pehmeäkantinen kirja
Riccardo Poli; Wolfgang Banzhaf; William B. Langdon; Julian F. Miller; Peter Nordin; Terence C. Fogarty Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2000) Pehmeäkantinen kirja
Marco Dorigo; Luca Maria Gambardella; Mauro Birattari; Alcherio Martinoli; Riccardo Poli; Thomas Stützle Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Pehmeäkantinen kirja
Conor Ryan (ed.); Terence Soule (ed.); Riccardo Poli (ed.); Edward Tsang (ed.); Maarten Keijzer (ed.); Ernesto Costa (ed.) Springer (2003) Pehmeäkantinen kirja
Stefano Cagnoni; Riccardo Poli; George D. Smith; David Corne; Martin Oates; Emma Hart; Pier L. Lanzi; Egbert J. Willem Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2000) Pehmeäkantinen kirja
Kalyanmoy Deb (ed.); Riccardo Poli (ed.); Wolfgang Banzhaf (ed.); Hans-Georg Beyer (ed.); Edmund Burke (ed.); Paul Darwen Springer (2004) Pehmeäkantinen kirja
Kalyanmoy Deb (ed.); Riccardo Poli (ed.); Wolfgang Banzhaf (ed.); Hans-Georg Beyer (ed.); Edmund Burke (ed.); Paul Darwen Springer (2004) Pehmeäkantinen kirja
Springer Sivumäärä: 280 sivua Asu: Kovakantinen kirja Painos: 1st ed. 2017 Julkaisuvuosi: 2017, 15.09.2017 (lisätietoa) Kieli: Englanti
This book is a practical guide to the field of biomedical signal processing and pattern recognition. The authors provide a self-contained volume that will address all the main issues – e.g., signal peculiarities, popular algorithms, key application examples, etc. – as well as provide an overview of common traps and mistakes and how to avoid them. The book makes extensive use of pseudo-code and code samples. It discusses available open source toolboxes as well. This book will the non-specilist up to speed with regard to relevant signal processing and pattern recognition. More importantly, it will enable the reader to either program the necessary algorithms or to modify existing open source libraries.
This book fills a gap in several new interdisciplinary areas, such as human-machine interaction, affective computing, and computer games, that have as a common task the processing and analysis of biomedical data. Yet, it is also a valuable tool for students at the intermediate and advanced levels in more traditional biomedical pattern recognition.
