TY - GEN
T1 - Robust multichannel sampling
AU - Nguyen, Ha T.
AU - Do, Minh N.
PY - 2008
Y1 - 2008
N2 - A conventional wisdom is that a bandlimited signal can be sampled at twice its maximum frequency to prevent any loss of information. For signals having high frequency components, sampling them requires fast analog-to-digital converters (ADC) that are difficult to design without increasing their cost and noise. In this paper, we show that high-resolution samples of any signal, bandlimited or unbandlimited, can be accurately approximated using multiple sequences of low-resolution samples taken from the same analog signal, probably with fractional delays, using slow ADCs. The approximation is enabled by designing a set of synthesis filters, without any knowledge of the signals to be sampled, to minimize an induced error system in the minimax sense. The approximation performance is guaranteed to be robust even when using estimates of the system parameters (such as antialiasing filters and fractional delays). We present experiments to confirm the potential of our approach.
AB - A conventional wisdom is that a bandlimited signal can be sampled at twice its maximum frequency to prevent any loss of information. For signals having high frequency components, sampling them requires fast analog-to-digital converters (ADC) that are difficult to design without increasing their cost and noise. In this paper, we show that high-resolution samples of any signal, bandlimited or unbandlimited, can be accurately approximated using multiple sequences of low-resolution samples taken from the same analog signal, probably with fractional delays, using slow ADCs. The approximation is enabled by designing a set of synthesis filters, without any knowledge of the signals to be sampled, to minimize an induced error system in the minimax sense. The approximation performance is guaranteed to be robust even when using estimates of the system parameters (such as antialiasing filters and fractional delays). We present experiments to confirm the potential of our approach.
KW - Filter design
KW - H optimization
KW - Hybrid filter bank
KW - Model-matching
KW - Multichannel sampling
KW - Sampled-data control
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U2 - 10.1109/ICIP.2008.4711839
DO - 10.1109/ICIP.2008.4711839
M3 - Conference contribution
AN - SCOPUS:69949125249
SN - 1424417643
SN - 9781424417643
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 653
EP - 656
BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -