Machine Intelligence and Signal Analysis (Paperback, 1st ed. 2019)

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advances in Intelligent Systems and Computing, 748
Release date:	August 2018
First published:	2019
Editors:	M. Tanveer • Ram Bilas Pachori
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	767
Edition:	1st ed. 2019
ISBN-13:	978-981-13-0922-9
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-0922-1
Barcode:	9789811309229

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