2013
DOI: 10.1007/s00034-013-9657-5
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Calibration for Realization Errors of Two-Channel Hybrid Filter Bank Analog-to-Digital Converters Based on Frequency-Dependent Model

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Cited by 6 publications
(4 citation statements)
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“…In fact, the aliasing terms need not be completely eliminated and it is sufficient that these terms can be optimized to be small enough to accommodate the required system SNDR of target application. To minimize the reconstruction error, several optimization methods have been proposed to design the digital synthesis filters [19], [20], [21].…”
Section: B Synthesis Filter Designmentioning
confidence: 99%
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“…In fact, the aliasing terms need not be completely eliminated and it is sufficient that these terms can be optimized to be small enough to accommodate the required system SNDR of target application. To minimize the reconstruction error, several optimization methods have been proposed to design the digital synthesis filters [19], [20], [21].…”
Section: B Synthesis Filter Designmentioning
confidence: 99%
“…Assuming mth analog LPF has L such parameters l m,i (e.g. resistance, capacitance, inductance or characteristic parameter in transistor), the frequency response of the mth LPF can be modeled as [19]…”
Section: Analog Low-pass Filter Imperfectionsmentioning
confidence: 99%
“…HFB is widely used to analysis time interleaved Analog-to-Digital Converter (TIADC) [16,17,18,19] while the HFB DAC is relatively less studied. Since the mismatch errors of filter banks significantly degrade the system performance [20,21,22,23]. Many studies [24,25,26,27] focus on the perfect reconstruction design of filter banks while the mismatch estimation and calibration are relatively less studied.…”
Section: Introductionmentioning
confidence: 99%
“…The HFB system suffer from the aliasing error if the analysis filters and synthesis filters are not well matched [17,18,19,20,21]. Several filter match design methods such as linear programming [22], second-order cone programming [23] have been proposed to eliminate the aliasing error and minimize the distortion.…”
Section: Introductionmentioning
confidence: 99%