Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio–signals and Electric Signals

This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non–stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time–frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers. Theory enhancement, original applications and concrete implementation on FPGA for real–time processing are also covered in this book. INDICE: 1. The Need for Time–Frequency Analysis 2. Time–Frequency Analysis: The S–Transform 3. Segmentation and Classification of Heart Sounds Based on the S–Transform 4. Adaline for the Detection of Electrical Events in Electrical Signals 5. FPGA Implementation of the Adaline

• ISBN: 978-1-84821-613-6
• Editorial: ISTE Ltd.
• Encuadernacion: Cartoné
• Fecha Publicación: 28/02/2014
• Nº Volúmenes: 1
• Idioma: Inglés