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Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory

Research article (IEEE Transactions on Vehicular Technology, 2018) · cited 14× · AI/ML
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Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory

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Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory is a scholarly article[1].

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  • Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory's instance of is recorded as scholarly article[2].

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Octavia Dobre

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/blind-identification-of-sfbc-ofdm-signals-using-subspace-decompositions-and-random-matrix-theory
MLA “Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/blind-identification-of-sfbc-ofdm-signals-using-subspace-decompositions-and-random-matrix-theory.
BibTeX @misc{4ortxyz_blind-identification-of-sfbc-ofdm-signals-using-subspace-decompositions-and-random-matrix-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory}}, year = {2026}, url = {https://4ort.xyz/entity/blind-identification-of-sfbc-ofdm-signals-using-subspace-decompositions-and-random-matrix-theory}, note = {Accessed: 2026-05-24}}
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