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 decompo-sition. 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 mech anical vibration and ultrasonic echo and transmission measurements.
|Journal||Journal of Signal and Information Processing|
|Publication status||Published - 2010|
|MoE publication type||A1 Journal article-refereed|
- Hilbert Transform, Analytic Signal, Envelope Analysis, FFT