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Fast sinc interpolation of digitized signals using the Hilbert transform.
1University of Kuopio, Department of Physics, Finland.
Journal of Biomedical Engineering
|November 1, 1990
Summary
A fast sinc interpolation method improves digital waveforms from A/D converters. This technique reconstructs data points using the Hilbert transform for enhanced signal accuracy.
Area of Science:
- Digital Signal Processing
- Waveform Analysis
Background:
- Analog-to-digital converters (A/D) sample continuous signals, leading to discrete data points.
- Improving the resolution of digital waveforms is crucial for accurate signal analysis.
Purpose of the Study:
- To present a computationally efficient method for sinc interpolation.
- To enhance the reconstruction of intermediate points between sampled digital data.
Main Methods:
- Utilized the Hilbert transform to compute sinc interpolation.
- Developed a fast algorithm for sinc interpolation computation.
Main Results:
- Demonstrated a faster approach to sinc interpolation.
- Successfully reconstructed intermediate points in digital waveforms.
Conclusions:
- The Hilbert transform offers an efficient way to perform sinc interpolation.
- This method enhances the quality and detail of digital waveforms derived from A/D converters.