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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Energy Efficient Optimum Sampling Rate for Analogue Signals with Extremely Wide Bandwidth using Compressive Sensing

2022International Journal of Wireless & Mobile NetworksJournalOpen access

10.5121/ijwmn.2022.14305 Full text0 citations

Authors

5 authors.

Sylvester AjahFirst author
- Federal University of Technology Owerri (NG)
Ifenyiwa
- Federal University of Technology Owerri (NG)
E. Achumba
Nkwachukwu Chukwuchekwa
- Federal University of Technology Owerri (NG)
Onyebuchi Chikezie NosiriSenior author
- Federal University of Technology Owerri (NG)
as printed: Nosiri Onyebuchi

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Energy Harvesting in Wireless Networkslevel 3 · 1.00
Sparse and Compressive Sensing Techniqueslevel 3 · 1.00
Advanced MIMO Systems Optimizationlevel 3 · 1.00

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · International Journal of Wireless & Mobile Networks · 0 citations
https://openalex.org/W4285406243

Energy Efficient Optimum Sampling Rate for Analogue Signals with Extremely Wide Bandwidth using Compressive Sensing · Sankore