Abstract | ||
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Time-interleaved analog-to-digital converters (ADCs) exhibit offset, gain, and time-skew errors due to channel mismatches. The time skews give rise to a nonuniformly sampled signal instead of the desired uniformly sampled signal. This introduces the need for a digital signal reconstructor that takes the “nonuniform samples” and generates the “uniform samples”. In the general case, the time skews are frequency dependent, in which case a generalization of nonuniform sampling applies. When the bandwidth of a digital reconstructor approaches the whole Nyquist band, the computational complexity may become prohibitive. This paper introduces a new scheme with reduced complexity. The idea stems from recent multirate-based efficient realizations of linear and time-invariant system . However, a time-interleaved ADC (without correction) is a time-varying system which means that these multirate-based techniques cannot be used straightforwardly but need to be appropriately analyzed and extended for this context. |
Year | DOI | Venue |
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2012 | 10.1109/NEWCAS.2012.6329030 | NEWCAS |
Keywords | Field | DocType |
analogue-digital conversion,computational complexity,signal reconstruction,signal sampling,nyquist band,digital signal reconstructor,linear invariant systems,multirate-based efficient realizations,nonuniform samples,signal reconstruction scheme,time-interleaved adc,time-interleaved analog-to-digital converters,time-invariant systems,time-skew errors,uniform samples,bandwidth,nonuniform sampling,finite impulse response filter,polynomials | Digital signal,Sampling (signal processing),Communication channel,Electronic engineering,Bandwidth (signal processing),Nyquist–Shannon sampling theorem,Signal reconstruction,Mathematics,Computational complexity theory,Nonuniform sampling | Conference |
ISBN | Citations | PageRank |
978-1-4673-0858-8 | 1 | 0.41 |
References | Authors | |
6 | 2 |
Name | Order | Citations | PageRank |
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Kalidas Muralidharan Pillai, A. | 1 | 1 | 0.75 |
Håkan Johansson | 2 | 505 | 65.36 |