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Discrete Wavelet Transforms - Biomedical Applications by Olkkonen H. (Ed.) is a nonfiction available to read on EtoBox.

What is Discrete Wavelet Transforms - Biomedical Applications about?

Издательство InTech, 2011, -378 pp.The discrete wavelet transform (DWT) has an established role in multi-scale processing of biomedical signals, such as EMG and EEG. Since DWT algorithms provide both octave-scale frequency and spatial timing of the analyzed signal. Hence, DWTs are constantly used to solve and treat more and more advanced problems. The DWT algorithms were initially based on the compactly supported conjugate quadrature filters (CQFs). However, a drawback in CQFs is due to the nonlinear phase effects such as spatial dislocations in multi-scale analysis. This is avoided in biorthogonal discrete wavelet transform (BDWT) algorithms, where the scaling and wavelet filters are symmetric and linear phase. The biorthogonal filters are usually constructed by a ladder-type network called lifting scheme. Efficient lifting BDWT structures have been developed for microprocessor and VLSI environment. Only integer register shifts and summations are needed for implementation of the analysis and synthesis filters. In many systems BDWT-based data and image processing tools have outperformed the conventional discrete cosine transform (DCT) -based approaches. For example, in JPEG2000 Sta

Who reads Discrete Wavelet Transforms - Biomedical Applications?

Author

Olkkonen H. (Ed.)

Publisher

John Wiley & Sons ; Research Studies Press

Published

2009

Language

EN

ISBN

9789533076546

Category

nonfiction

Subjects

Engineering, Mathematics, Wavelets And Signal Processing