The wavelet transform has emerged over recent years as a powerful time–frequency
analysis and signal coding tool favoured for the interrogation of complex nonstationary�…

The wavelet transform has a powerful time-frequency analysis and signal-coding tool
suitable for use in the manipulation of complex nonstationary signals. This article provides�…

Recent work has attempted to utilize wavelet techniques in the analysis of biomedical
signals including ECGs. Here, the authors present an energy-based method of interrogating�…

Wavelet-based signal analysis has evolved as ahighly innovative strategy inapplications
where it isdesirable to look atsignals simultaneously inthe time and frequency domains�…

Wavelets and wavelet transforms are a relatively new topic in signal processing. Their
development and, in particular, their application remains an active area of research. This�…

The recently introduced wavelet transform is a member of the class of time-frequency
representations which include the Gabor short-time Fourier transform and Wigner-Ville�…

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and�…

Wavelets analysis methods have been widely used in the signal processing of biomedical
signals. These methods represent the temporal characteristics of a signal by its spectral�…

We present an overview of the various uses of the wavelet transform (WT) in medicine and
biology. We start by describing the wavelet properties that are the most important for�…

The author describes how, because of their compatibility with nonstationary random
processes, wavelet transforms are particularly powerful when it comes to analyzing�…