Castet julien (10 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

hardcover. Zustand: Gut. 331 Seiten; 9781447165835.3 Gewicht in Gramm: 1.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 331 pages. 9.25x6.10x1.02 inches. In Stock.

Hardcover. Zustand: Brand New. 9.50x6.25x1.00 inches. In Stock.

2014. 331 p. Neu und originalverschweißt! --- Brand new and welded! 9781447165835 Sprache: Englisch Gewicht in Gramm: 567 Hardcover: 15.6 x 1.9 x 23.4 cm.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.…

Zustand: gut. 2014. Guide to Brain-Computer Music Interfacing In englischer Sprache. pages.