2011 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2011
DOI: 10.1109/biocas.2011.6107745
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Efficient realization of random demodulator-based analog to information converters

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Cited by 14 publications
(4 citation statements)
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“…The term δα I is a noise term and the reconstruction error is related to the value of this term. Namely, if the signalα is the reconstructed signal from the measurements y, then the error in reconstructionα − α S satisfies α − α S ≤ε (8) whereε = δα I ∞ is the maximum entry in the vector δα I .…”
Section: Theoretical Foundationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The term δα I is a noise term and the reconstruction error is related to the value of this term. Namely, if the signalα is the reconstructed signal from the measurements y, then the error in reconstructionα − α S satisfies α − α S ≤ε (8) whereε = δα I ∞ is the maximum entry in the vector δα I .…”
Section: Theoretical Foundationsmentioning
confidence: 99%
“…The measurements are obtained by projecting this signal on a set of random signals, p i (t), that are digitally generated from discrete-time random sequences p i [n]. The ith measurement is given by [8] y…”
Section: A Signal Model and System Representationmentioning
confidence: 99%
“…That's why, the proposed W-MMA expresses the large optical absorption window which cover the entire visible and short IRwavelengths. [91][92][93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109][110]. The angular robustness is the key and important feature of any meta-device.…”
Section: Simulation Study and Analysismentioning
confidence: 99%
“…Recent developments in the theory of compressive sampling has lead to the emergence of new radio receivers that can digitize signals at sampling rates below the Shannon-Nyquist limit thus reducing the rates at which analog-todigital converters (ADC) in radio receivers operate [2]- [11]. Such a reduction in the sampling rates of ADCs has two major implications: it causes the power consumption of ADCs to drop tremendously and it reduces the amount of data by reducing the number of acquired samples, both becoming increasingly critical requirements in such systems as biomedical systems, mobile devices, sensor networks, among others [12]- [15].…”
Section: Introductionmentioning
confidence: 99%