{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:D252JBCZ4SKZIB4P4KYFVPPU7G","short_pith_number":"pith:D252JBCZ","schema_version":"1.0","canonical_sha256":"1ebba48459e49594078fe2b05abdf4f98de50a476004bfe2bc2f2a7556bb0729","source":{"kind":"arxiv","id":"1707.09097","version":1},"attestation_state":"computed","paper":{"title":"Beamspace Channel Estimation in mmWave Systems via Cosparse Image Reconstruction Technique","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chao-Kai Wen, Feifei Gao, Jie Yang, Shi Jin","submitted_at":"2017-07-28T03:35:08Z","abstract_excerpt":"This paper considers the beamspace channel estimation problem in 3D lens antenna array under a millimeter-wave communication system. We analyze the focusing capability of the 3D lens antenna array and the sparsity of the beamspace channel response matrix. Considering the analysis, we observe that the channel matrix can be treated as a 2D natural image; that is, the channel is sparse, and the changes between adjacent elements are subtle. Thus, for the channel estimation, we incorporate an image reconstruction technique called sparse non-informative parameter estimator-based cosparse analysis AM"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1707.09097","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-07-28T03:35:08Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"c424c688e9ca2df6494bf26ec650ed8a156cf573c5a43ab127207628fe5e6b8c","abstract_canon_sha256":"35c056d04d29637f7252274239587e004c2c7af22ee7343d7ac6a850569ebbeb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:17.110503Z","signature_b64":"xg7EKW42UfMW68pPEQmI9I/UpyFV0L7xx6c18DmtmscNlOXyLfx5rbNWNbaJs/yhC0XjeJC7XZXW9O1fu0AJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ebba48459e49594078fe2b05abdf4f98de50a476004bfe2bc2f2a7556bb0729","last_reissued_at":"2026-05-18T00:39:17.109874Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:17.109874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beamspace Channel Estimation in mmWave Systems via Cosparse Image Reconstruction Technique","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chao-Kai Wen, Feifei Gao, Jie Yang, Shi Jin","submitted_at":"2017-07-28T03:35:08Z","abstract_excerpt":"This paper considers the beamspace channel estimation problem in 3D lens antenna array under a millimeter-wave communication system. We analyze the focusing capability of the 3D lens antenna array and the sparsity of the beamspace channel response matrix. Considering the analysis, we observe that the channel matrix can be treated as a 2D natural image; that is, the channel is sparse, and the changes between adjacent elements are subtle. Thus, for the channel estimation, we incorporate an image reconstruction technique called sparse non-informative parameter estimator-based cosparse analysis AM"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.09097","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1707.09097","created_at":"2026-05-18T00:39:17.109956+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.09097v1","created_at":"2026-05-18T00:39:17.109956+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.09097","created_at":"2026-05-18T00:39:17.109956+00:00"},{"alias_kind":"pith_short_12","alias_value":"D252JBCZ4SKZ","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"D252JBCZ4SKZIB4P","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"D252JBCZ","created_at":"2026-05-18T12:31:10.602751+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G","json":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G.json","graph_json":"https://pith.science/api/pith-number/D252JBCZ4SKZIB4P4KYFVPPU7G/graph.json","events_json":"https://pith.science/api/pith-number/D252JBCZ4SKZIB4P4KYFVPPU7G/events.json","paper":"https://pith.science/paper/D252JBCZ"},"agent_actions":{"view_html":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G","download_json":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G.json","view_paper":"https://pith.science/paper/D252JBCZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.09097&json=true","fetch_graph":"https://pith.science/api/pith-number/D252JBCZ4SKZIB4P4KYFVPPU7G/graph.json","fetch_events":"https://pith.science/api/pith-number/D252JBCZ4SKZIB4P4KYFVPPU7G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G/action/storage_attestation","attest_author":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G/action/author_attestation","sign_citation":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G/action/citation_signature","submit_replication":"https://pith.science/pith/D252JBCZ4SKZIB4P4KYFVPPU7G/action/replication_record"}},"created_at":"2026-05-18T00:39:17.109956+00:00","updated_at":"2026-05-18T00:39:17.109956+00:00"}