dc.contributor.author | Chatterjee, Abhijit | |
dc.contributor.author | Gomes, Alfred V. | |
dc.contributor.author | Choi, Hyun | |
dc.date.accessioned | 2019-04-16T18:04:18Z | |
dc.date.available | 2019-04-16T18:04:18Z | |
dc.date.issued | 2009-02 | |
dc.identifier.uri | http://hdl.handle.net/1853/60985 | |
dc.description | Issued as final report | en_US |
dc.description.abstract | This 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. | en_US |
dc.description.sponsorship | National Semiconductor Corporation | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | School of Electrical and Computer Engineering ; Project no. 110478 | en_US |
dc.subject | Signal reconstruction | en_US |
dc.subject | Incoherent sub-sampling | en_US |
dc.title | Signal acquisition of high-speed periodic signals using incoherent sub-sampling and back-end signal reconstruction algorithms | en_US |
dc.title.alternative | High fidelity measurements of high-speed signals using intelligent data | en_US |
dc.type | Technical Report | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. Office of Sponsored Programs | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |