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Optimization of the Continuous Wavelet Transform for DSP Processor Implementation
1Biomedical Engineering Research Group, Division of Mechanical Engineering and Mechatronics, University of Dundee, Dundee, DD1 4HN UK. s.patil@dundee.ac.uk.
Abstract:
The redundant wavelet transform is an effective tool when emphasis is on the analysis of non-stationary signals and on localization and characterization of singularities. Here we describe an optimized method to implement a B-spline based redundant wavelet transform (RWT) on a Digital Signal Processor (DSP) for integer scales. Expressions are derived to give an exact operation count at any integer scale m for any B-spline of order n. Finally experimental results are given using cubic b-spline as scaling function and first-and second-order derivative of B-splines as wavelets. It has been shown that optimized method improves the execution speed over the standard method by 20-28%.
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