Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Januar 2019
Genre:	Naturwissensch., Medizin, Technik
	B / Digital and Analog Signal Processing / engineering / Image processing / Neurobiology / neuropsychology / Neuroscience / Neurosciences / Physiological & neuro-psychology, biopsychology / Signal Processing / Signal, Image and Speech Processing / Speech processing systems / User interface design & usability / User interfaces (Computer systems) / User Interfaces and Human Computer Interaction / Zoology
ISBN:	9789811348945
EAN-Code:	9789811348945
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	Signals and Communication Technology
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	391 gr
Seiten:	232
Illustration:	XVII, 232 p. 119 illus., 111 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book provides a comprehensive overview of how fractal analytics can lead to the extraction of interesting features from the complex electroencephalograph (EEG) signals generated by Hindustani classical music. It particularly focuses on how the brain responses to the emotional attributes of Hindustani classical music that have been long been a source of discussion for musicologists and psychologists. Using robust scientific techniques that are capable of looking into the most intricate dynamics of the complex EEG signals, it deciphers the human brain's response to different ragas of Hindustani classical music, shedding new light on what happens inside the performer's brain when they are mentally composing the imagery of a particular raga. It also explores the much- debated issue in the musical fraternity of whether there are any universal cues in music that make it identifiable for people throughout the world, and if so, what are the neural correlates associated with the universalcues? This book is of interest to researchers and scholars of music and the brain, nonlinear science, music cognition, music signal processing and music information retrieval. In addition, researchers in the field of nonlinear biomedical signal processing and music signal analysis benefit from this book.