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OSP Final Research Reports
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1 - 10 of 75
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ItemExpitaxial growth of Ga-N based LEDs on simple sacrificial substrates(Georgia Institute of Technology, 12/31/2009) Ferguson, Ian T. ; Summers, Christopher J.
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ItemEpitaxial growth of GaN-based LEDs on simple sacrificial substrates(Georgia Institute of Technology, 2009-12-21) Ferguson, Ian T. ; Summers, Christopher J.
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ItemCSR-EHS: Optimal, multi-modal control of complex systems(Georgia Institute of Technology, 2009-08-20) Egerstedt, Magnus B.
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ItemGeometric variational methods for controlled active vision(Georgia Institute of Technology, 2009-07-21) Tannenbaum, Allen R.
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ItemLong-term analog-to-digital conversion development by short-term photonic crystal development(Georgia Institute of Technology, 2009-07-14) Gaylord, Thomas K. ; Kilby, Gregory R.
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ItemChemical microsystem based on vertical integration of sensor array and CMOS circuit(Georgia Institute of Technology, 2009-04-30) Brand, Oliver ; Mizaikoff, Boris
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ItemSTEP-UP: Summer teacher experience in packaging, utilizing physics -- "RET site"(Georgia Institute of Technology, 2009-04-01) Conrad, Leyla ; Conrad, Edward ; Auerbach, Jill
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ItemLow density parity check coding: applications and new challenges(Georgia Institute of Technology, 2009-03-18) Fekri, Faramarz
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ItemEnabling technology for MIMO systems on mobile devices: Antennas, switches and packaging(Georgia Institute of Technology, 2009-03-01) Papapolymerou, John
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ItemSignal acquisition of high-speed periodic signals using incoherent sub-sampling and back-end signal reconstruction algorithms(Georgia Institute of Technology, 2009-02) Chatterjee, Abhijit ; Gomes, Alfred V. ; Choi, HyunThis paper presents a high-speed periodic signal acquisition technique using incoherent sub-sampling and backend signal reconstruction algorithms. The signal reconstruction algorithms employ a frequency domain analysis for frequency estimation, and suppression of jitter-induced sampling noise. By switching the sampling rate of a digitizer, the analog frequency value of the sampled signal can be recovered. The proposed signal reconstruction uses incoherent sub-sampling to reduce hardware complexity. The results of simulation and hardware experiments indicate that the proposed signal reconstruction algorithms are able to reconstruct multi-tone high-speed periodic signals in the discrete time domain. The new signal acquisition technique simplifies signal acquisition hardware for testing and characterization of high-speed analog and digital signals.