2002
DOI: 10.1109/tsp.2002.804089
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Reconstruction of nonuniformly sampled bandlimited signals by means of digital fractional delay filters

Abstract: This paper considers the problem of reconstructing a class of nonuniformly sampled bandlimited signals of which a special case occurs in, e.g., time-interleaved analog-to-digital converter (ADC) systems due to time-skew errors. To this end, we propose a synthesis system composed of digital fractional delay filters. The overall system (i.e., nonuniform sampling and the proposed synthesis system) can be viewed as a generalization of timeinterleaved ADC systems to which the former reduces as a special case. Compa… Show more

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Cited by 157 publications
(90 citation statements)
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“…For the special case of M-periodic nonuniform sampling, the uniform DT signal reconstruction is particularly important for the timing mismatch correction in time-interleaved (TI) analog-to-digital converters (ADCs) [2]. Conventionally, this problem is usually analyzed and represented using the concept of perfect reconstruction filter bank because of the periodic nonuniform sampling pattern [3][4][5]. However, when the sampling pattern changes during operation, say due to component variations, the synthesis filter bank has to be redesigned to compensate for the new pattern.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For the special case of M-periodic nonuniform sampling, the uniform DT signal reconstruction is particularly important for the timing mismatch correction in time-interleaved (TI) analog-to-digital converters (ADCs) [2]. Conventionally, this problem is usually analyzed and represented using the concept of perfect reconstruction filter bank because of the periodic nonuniform sampling pattern [3][4][5]. However, when the sampling pattern changes during operation, say due to component variations, the synthesis filter bank has to be redesigned to compensate for the new pattern.…”
Section: Introductionmentioning
confidence: 99%
“…When it is applied to the timing mismatch correction in TI ADCs, more savings in hardware costs can be achieved over conventional filter bank methods [3][4][5][6][7][8], as the implementation complexity of the overall iterative procedure is independent of the number of channels. Compared to multivariate polynomial FIR filters in [6][7][8], the VDF has much lower dimensionality and hence implementation complexity since it is just a bivariate polynomial FIR filter.…”
Section: Introductionmentioning
confidence: 99%
“…Variable fractional-delay filters find applications in many different contexts like interpolation, resampling, delay estimation, and signal reconstruction, see [35][36][37][38][39][40]. The VFD filter, with a transfer function H(z, d), is for z = e jω to approximate the ideal VFD filter frequency response…”
Section: Variable Fractional-delay Filtersmentioning
confidence: 99%
“…The TI-ADC is assumed to have sufficiently high resolution such that the quantization noise can be neglected [8]. Assuming the TI-ADC is affected by offset mismatch only and using the model of a TI-ADC introduced in [9], the output of the TI-ADC can be written as:…”
Section: Introductionmentioning
confidence: 99%