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Joe Asano

3 papers hereh-index 12 citations3 works total

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author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP3

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

eess.SP2026

Sparsification of Precoding Codebooks for PAPR Reduction via Grassmannian Representations

Joe Asano, Yuto Hama, Hiroki Iimori +2

In this letter, we propose a sparsification method for precoding codebooks that reduces the peak-to-average power ratio (PAPR) while preserving the achievable rate. By exploiting t…

eess.SP2026

Low-Complexity and Power-Efficient Precoding Codebook Design on Sparse Grassmannian

Joe Asano, Yuto Hama, Hiroki Iimori +3

We propose a sparse Grassmannian design for precoding codebooks. Due to their sparse structure, our proposed codebooks achieve low peak-to-average power ratio (PAPR), low complexit…

eess.SP2026

Sparse Grassmannian Design for Noncoherent Codes via Schubert Cell Decomposition

Joe Asano, Yuto Hama, Hiroki Iimori +3

In this paper, we propose a method for designing sparse Grassmannian codes for noncoherent multiple-input multiple-output systems. Conventional pairwise error probability formulati…

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