Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation
Summary
Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation is a scholarly article[1].
Key Facts
Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation's instance of is recorded as scholarly article[2].
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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). Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/phase-enhancement-model-based-on-supervised-convolutional-neural-network-for-coherent-doa-estimation
MLA“Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/phase-enhancement-model-based-on-supervised-convolutional-neural-network-for-coherent-doa-estimation.
BibTeX@misc{4ortxyz_phase-enhancement-model-based-on-supervised-convolutional-neural-network-for-coherent-doa-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation}}, year = {2026}, url = {https://4ort.xyz/entity/phase-enhancement-model-based-on-supervised-convolutional-neural-network-for-coherent-doa-estimation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Phase enhancement model based on supervised convolutional neural network for coherent DOA estimation — https://4ort.xyz/entity/phase-enhancement-model-based-on-supervised-convolutional-neural-network-for-coherent-doa-estimation (retrieved 2026-05-24)
