Reconstruction of Repetitive Signals
Jan H. van Bemmel, Bob J.A. Schijvenaars, Jan A. Kors
Abstract
Jan H. van Bemmel, Bob J.A. Schijvenaars, Jan A. Kors
Abstract
A technique is presented for the reconstruction of signals that suffered sampling-frequency decimation. Two assumptions are made: the original signal has to be repetitive, and no anti-aliasing filter has been used before frequency decimation. The performance of the technique is assessed by using test signals of which the original signal is known.
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A technique is presented for the reconstruction of signals that suffered sampling-frequency decimation. Two assumptions are made: the original signal has to be repetitive, and no anti-aliasing filter has been used before frequency decimation. The performance of the technique is assessed by using test signals of which the original signal is known.
Key concepts: Decimation, Aliasing, SIGNAL (programming language), Sampling (signal processing), Signal reconstruction, Reconstruction filter, Filter (signal processing), Computer science