Title :
Recovering Periodically Spaced Missing Samples [DSP Tips & Tricks]
Author_Institution :
Zurich Univ. of Appl. Sci., Winterthur
Abstract :
We presented a novel method to recover periodically missing samples from appropriately bandlimited signals. We used filterbanks with fractional delay filters as building blocks, and described a windowed-sine method to approximate the fractional delays with FIR subfilters. Because the implementation of filterbanks and the approximation of fractional delay filters are well-studied problems, this makes the proposed recovery method flexible and easy to implement.
Keywords :
FIR filters; bandlimited signals; channel bank filters; delay filters; filtering theory; FIR subfilters; bandlimited signals; filterbanks; fractional delay filters; periodically spaced missing samples; signal recovery method; windowed-sine method; Algorithm design and analysis; Digital signal processing; Frequency; Sampling methods; Signal design; Signal processing; Signal processing algorithms; Signal sampling; Time domain analysis;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2007.905890
