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Discrete Wavelet Transforms - Biomedical Applications
Edited by Hannu Olkkonen, ISBN 978-953-307-654-6, Hard cover, 366 pages, Publisher: InTech, Published: September 12, 2011 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/1818
The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms - Biomedical Applications reviews the recent progress in discrete wavelet transform algorithms and applications. The book reviews the recent progress in DWT algorithms for biomedical applications. The book covers a wide range of architectures (e.g. lifting, shift invariance, multi-scale analysis) for constructing DWTs. The book chapters are organized into four major parts. Part I describes the progress in implementations of the DWT algorithms in biomedical signal analysis. Applications include compression and filtering of biomedical signals, DWT based selection of salient EEG frequency band, shift invariant DWTs for multiscale analysis and DWT assisted heart sound analysis. Part II addresses speech analysis, modeling and understanding of speech and speaker recognition. Part III focuses biosensor applications such as calibration of enzymatic sensors, multiscale analysis of wireless capsule endoscopy recordings, DWT assisted electronic nose analysis and optical fibre sensor analyses. Finally, Part IV describes DWT algorithms for tools in identification and diagnostics: identification based on hand geometry, identification of species groupings, object detection and tracking, DWT signatures and diagnostics for assessment of ICU agitation-sedation controllers and DWT based diagnostics of power transformers.The chapters of the present book consist of both tutorial and highly advanced material. Therefore, the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications.
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Book contents
- Chapter 1Biomedical Applications of the Discrete Wavelet Transform
- Chapter 2Discrete Wavelet Transform in Compression and Filtering of Biomedical Signals
- Chapter 3Discrete Wavelet Transform Based Selection of Salient EEG Frequency Band for Assessing Human Emotions
- Chapter 4Discrete Wavelet Transform Algorithms for Multi-Scale Analysis of Biomedical Signals
- Chapter 5Computerized Heart Sounds Analysis
- Chapter 6Modelling and Understanding of Speech and Speaker Recognition
- Chapter 7Discrete Wavelet Transform & Linear Prediction Coding Based Method for Speech Recognition via Neural Network
- Chapter 8Implementation of the Discrete Wavelet Transform Used in the Calibration of the Enzymatic Biosensors
- Chapter 9Multiscale Texture Descriptors for Automatic Small Bowel Tumors Detection in Capsule Endoscopy
- Chapter 10Wavelet Transform for Electronic Nose Signal Analysis
- Chapter 11Wavelets in Electrochemical Noise Analysis
- Chapter 12Applications of Discrete Wavelet Transform in Optical Fibre Sensing
- Chapter 13Biometric Human Identification of Hand Geometry Features Using Discrete Wavelet Transform
- Chapter 14Wavelet Signatures of Climate and Flowering: Identification of Species Groupings
- Chapter 15Multiple Moving Objects Detection and Tracking Using Discrete Wavelet Transform
- Chapter 16Wavelet Signatures and Diagnostics for the Assessment of ICU Agitation-Sedation Protocols
- Chapter 17Application of Discrete Wavelet Transform for Differential Protection of Power Transformers
