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Related Experiment Videos

Optimization of the Continuous Wavelet Transform for DSP Processor Implementation.

Sunil Patil1, E Abel

  • 1Biomedical Engineering Research Group, Division of Mechanical Engineering and Mechatronics, University of Dundee, Dundee, DD1 4HN UK. s.patil@dundee.ac.uk.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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This study presents an optimized B-spline redundant wavelet transform (RWT) for Digital Signal Processors (DSPs). The new method significantly enhances execution speed for analyzing non-stationary signals and singularities.

Area of Science:

  • Signal Processing
  • Numerical Analysis
  • Computer Engineering

Background:

  • Non-stationary signals require advanced analysis techniques.
  • Singularity detection and characterization are crucial in signal processing.
  • Efficient implementation of transforms on Digital Signal Processors (DSPs) is essential for real-time applications.

Purpose of the Study:

  • To develop an optimized method for implementing a B-spline based redundant wavelet transform (RWT) on a Digital Signal Processor (DSP).
  • To provide exact operation counts for the RWT at any integer scale and B-spline order.
  • To evaluate the performance improvement of the optimized RWT method.

Main Methods:

  • Derivation of exact operation count expressions for B-spline based RWT at integer scales.

Related Experiment Videos

  • Implementation of the optimized RWT on a Digital Signal Processor (DSP).
  • Experimental validation using cubic B-splines as scaling functions and their derivatives as wavelets.
  • Main Results:

    • The optimized RWT method provides exact operation counts for B-spline order n and integer scale m.
    • Experimental results demonstrate a 20-28% improvement in execution speed compared to the standard method.
    • The optimized RWT is effective for analyzing non-stationary signals and localizing singularities.

    Conclusions:

    • The optimized B-spline based RWT offers significant speed improvements on DSPs.
    • This method enhances the analysis of non-stationary signals and singularity characterization.
    • The derived expressions enable precise performance prediction for the RWT implementation.