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Computation of Hilbert Transform via Discrete Cosine Transform
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Journal of Signal and Information Processing·Volume 01 (2010)·Pages 18–23·Published 1 December 2010·DOI10.4236/jsip.2010.11002
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Abstract
Hilbert transform (HT) is an important tool in constructing analytic signals for various purposes, such as envelope and instantaneous frequency analysis, amplitude modulation, shift invariant wavelet analysis and Hilbert-Huang decomposition. In this work we introduce a method for computation of HT based on the discrete cosine transform (DCT). We show that the Hilbert transformed signal can be obtained by replacing the cosine kernel in inverse DCT by the sine kernel. We describe a FFT-based method for the computation of HT and the analytic signal. We show the usefulness of the proposed method in mechanical vibration and ultrasonic echo and transmission measurements.
KeywordsHilbert TransformAnalytic SignalEnvelope AnalysisFFT
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