dc.creator | Petrellis N. | en |
dc.date.accessioned | 2023-01-31T09:49:52Z | |
dc.date.available | 2023-01-31T09:49:52Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.1080/02564602.2020.1827986 | |
dc.identifier.issn | 02564602 | |
dc.identifier.uri | http://hdl.handle.net/11615/78116 | |
dc.description.abstract | A sub-sampling method developed for wired or wireless Orthogonal Frequency Division Multiplexing (OFDM) systems is presented. The proposed technique can be activated during the exchange of sparse data. The sub-sampling method is implemented with low cost and complexity hardware since it requires the customization of a few specific OFDM stages like channel interleaving, sampling control, etc, and does not require any iterative optimization procedure. Employing special Inverse-Fast Fourier Transform (I-FFT) input structures, the recovery of the original data from fewer samples than those required by the receiver FFT is possible without any other cost for general OFDM applications. A special detector initiates the sub-sampling mode when sparse information is exchanged like sensor data or uncompressed real-time video with stationary views like night surveillance cameras. Up to ¾ of the time, the system can operate in sub-sampling mode reducing the power consumed by the Analogue/Digital Converter (ADC), the FFT and the IFFT. Memory needed for sample storage, intermediate results and FFT/IFFT coefficients can be released in real time if the proposed architecture is adopted. A Bit Error Rate (BER) below 10−3 or full information recovery is achieved in most of the cases. An image reconstruction example is also tested in a wireless environment with Normalised Mean Square Error (NMSE) ranging from 10−5 to less than 0.1. © 2022 IETE. | en |
dc.language.iso | en | en |
dc.source | IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092273608&doi=10.1080%2f02564602.2020.1827986&partnerID=40&md5=4f9d1a4fd723177efc10d158f562f001 | |
dc.subject | Bit error rate | en |
dc.subject | Digital storage | en |
dc.subject | Fast Fourier transforms | en |
dc.subject | Image reconstruction | en |
dc.subject | Iterative methods | en |
dc.subject | Mean square error | en |
dc.subject | Security systems | en |
dc.subject | Time domain analysis | en |
dc.subject | Intermediate results | en |
dc.subject | Inverse fast Fourier transforms | en |
dc.subject | Iterative Optimization | en |
dc.subject | Proposed architectures | en |
dc.subject | Sub-sampling methods | en |
dc.subject | Surveillance cameras | en |
dc.subject | Wireless environment | en |
dc.subject | Wireless orthogonal frequency division multiplexing | en |
dc.subject | Orthogonal frequency division multiplexing | en |
dc.subject | Taylor and Francis Ltd. | en |
dc.title | Sub-Sampled Time Domain Sparse Information in Wired OFDM and STBC-OFDM Systems | en |
dc.type | journalArticle | en |