Computational Signal Processing with Wavelets
A. Teolis, Naval Research Laboratory, Washington D.C.
0-8176-3909-8 * 1997-Spring * $59.95. * Hardcover * 330 pages
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WSPW Road Map



Shown above is the high-level anatomy of the WSPW. The WSPW may be utilized on different levels:

Of course, flexibility in functionality (or speed) and ease of use are traded off between these two levels. At the highest level, the graphical user interface level, the user is constrained by the functionality of the interface whereas at the lower MATLAB level users are free to use the workstation methods in any desirable manner.

Object Classes

There are two main object classes that have been developed for wavelet signal processing:

  1. sampled_signal
  2. wavelet

The sampled_signal class provides a common setting for the processing of uniformly sampled signals with varying sample rates over varying interval lengths. Using this class of signals as a starting point, the wavelet class facilitates the wavelet filter bank processing of sampled signals; and, hence, facilitates the implementation of the OCWT.

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