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1-D Continuous Wavelet Analysis

Note

This page is no longer recommended. See Continuous and Discrete Wavelet Transforms.

The Wavelet Toolbox™ software enables you to perform a continuous wavelet analysis of your univariate or bivariate 1-D input signals.

Key features include:

  • Continuous wavelet transform (CWT) of a complex-valued 1-D input signal. The Wavelet Toolbox software features a CWT algorithm, cwt, which is based on the correlation of the signal with an analyzing analytic wavelet.

  • Inverse CWT of 1–D input signal. You can invert the CWT to reconstruct a time and scale-localized approximation to your input signal. See icwt for details.

  • Wavelet cross spectrum and coherence. You can use wcoherence to compute the wavelet cross spectrum and coherence between two time series. The wavelet cross spectrum and coherence can reveal localized similarities between two time series in time and scale. See Compare Time-Frequency Content in Signals with Wavelet Coherence for examples.