A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A supervised method for microcalcification cluster diagnosis
Integrated Computer-Aided Engineering
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Due to the possibility to have temporal and spectral informations simultaneously adopting wavelet transforms, wavelet filter banks are frequently used in signal processing and communication systems. The inherently sequential structure of wavelet theory does not merge efficiently with modern techniques such as parallel processing, concurrent programming and implementation in design tools. In this paper a real-time signal processing technique adopting a fast parallelized algorithm for QRS complex locations is presented. The obtained performance shows the method validity as results with minimum interferences from noise and artefacts have been obtained.