Higher-Order Properties of Analytic Wavelets

By Jonathan M. Lilly, Sofia Charlotta Olhede. IEEE Transactions on Signal Processing, 2008

301 citations recorded by the source corpus.

The influence of higher-order wavelet properties on the analytic wavelet transform behavior is investigated, and wavelet functions offering advantageous performance are identified. This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactly analytic continuous wavelets. The degree of time/frequency localization, the existence of a mapping between scale and frequency, and the bias involved in estimating properties of modulated oscillatory signals, are proposed as important considerations. Wavelet behavior is found to be strongly impacted by the degree of asymmetry of the wavelet in both the frequency and the time domain, as quantified by the third central moments. A particular subset of the generalized Morse wavelets, recognized as deriving from an inhomogeneous Airy function, emerge as having particularly desirable properties. These ldquoAiry waveletsrdquo substantially outperform the only approximately analytic Morlet wavelets for high time localization. Special cases of the generalized Morse wavelets are examined, revealing a broad range of behaviors which can be matched to the characteristics of a signal.

Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/441ad6a2ef7bfc5ab841eedf85b7b815cb24c96a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

  1. Jonathan M. Lilly
  2. Sofia Charlotta Olhede

In Computer Vision and Pattern Recognition

  1. Jonathan M. Lilly
  2. Sofia Charlotta Olhede

In Media Technology

  1. Jonathan M. Lilly
  2. Sofia Charlotta Olhede

Citations in the corpus