A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth
Summary
A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth is a scholarly article[1].
Key Facts
A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-self-supervised-learning-based-channel-estimation-for-irs-aided-communication-without-ground-truth
MLA“A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-self-supervised-learning-based-channel-estimation-for-irs-aided-communication-without-ground-truth.
BibTeX@misc{4ortxyz_a-self-supervised-learning-based-channel-estimation-for-irs-aided-communication-without-ground-truth_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth}}, year = {2026}, url = {https://4ort.xyz/entity/a-self-supervised-learning-based-channel-estimation-for-irs-aided-communication-without-ground-truth}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth — https://4ort.xyz/entity/a-self-supervised-learning-based-channel-estimation-for-irs-aided-communication-without-ground-truth (retrieved 2026-05-24)
