{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:A4BVCZGNZIBGSYT2MLIMLNHYQ4","short_pith_number":"pith:A4BVCZGN","schema_version":"1.0","canonical_sha256":"07035164cdca0269627a62d0c5b4f88717b707b67376b6b3bc03c96198ab657d","source":{"kind":"arxiv","id":"1407.6083","version":1},"attestation_state":"computed","paper":{"title":"Affine Combination of Two Adaptive Sparse Filters for Estimating Large Scale MIMO Channels","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Guan Gui, Li Xu","submitted_at":"2014-07-23T01:18:15Z","abstract_excerpt":"Large scale multiple-input multiple-output (MIMO) system is considered one of promising technologies for realizing next-generation wireless communication system (5G) to increasing the degrees of freedom in space and enhancing the link reliability while considerably reducing the transmit power. However, large scale MIMO system design also poses a big challenge to traditional one-dimensional channel estimation techniques due to high complexity and curse of dimensionality problems which are caused by long delay spread as well as large number antenna. Since large scale MIMO channels often exhibit "},"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":"1407.6083","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.IT","submitted_at":"2014-07-23T01:18:15Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"162b5dba10ef9fc3eb50dc9d50683cd57f2f04d682c36574e2b3a7afa03eeb2b","abstract_canon_sha256":"dbc225942b477ccf9f4183188a8796ccdaa8f741683a0843f17453fdd58788f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:46:59.100528Z","signature_b64":"5huxqwn0caBWvPXM2fbaUp/0nbQxICCXXuY/n7RlyA6414bG2qR/O4IvCwp9FRERzEnskhrlrNdh3FYpdvKGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"07035164cdca0269627a62d0c5b4f88717b707b67376b6b3bc03c96198ab657d","last_reissued_at":"2026-05-18T02:46:59.099912Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:46:59.099912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Affine Combination of Two Adaptive Sparse Filters for Estimating Large Scale MIMO Channels","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Guan Gui, Li Xu","submitted_at":"2014-07-23T01:18:15Z","abstract_excerpt":"Large scale multiple-input multiple-output (MIMO) system is considered one of promising technologies for realizing next-generation wireless communication system (5G) to increasing the degrees of freedom in space and enhancing the link reliability while considerably reducing the transmit power. However, large scale MIMO system design also poses a big challenge to traditional one-dimensional channel estimation techniques due to high complexity and curse of dimensionality problems which are caused by long delay spread as well as large number antenna. Since large scale MIMO channels often exhibit "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.6083","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":"1407.6083","created_at":"2026-05-18T02:46:59.100001+00:00"},{"alias_kind":"arxiv_version","alias_value":"1407.6083v1","created_at":"2026-05-18T02:46:59.100001+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.6083","created_at":"2026-05-18T02:46:59.100001+00:00"},{"alias_kind":"pith_short_12","alias_value":"A4BVCZGNZIBG","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_16","alias_value":"A4BVCZGNZIBGSYT2","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_8","alias_value":"A4BVCZGN","created_at":"2026-05-18T12:28:19.803747+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/A4BVCZGNZIBGSYT2MLIMLNHYQ4","json":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4.json","graph_json":"https://pith.science/api/pith-number/A4BVCZGNZIBGSYT2MLIMLNHYQ4/graph.json","events_json":"https://pith.science/api/pith-number/A4BVCZGNZIBGSYT2MLIMLNHYQ4/events.json","paper":"https://pith.science/paper/A4BVCZGN"},"agent_actions":{"view_html":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4","download_json":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4.json","view_paper":"https://pith.science/paper/A4BVCZGN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1407.6083&json=true","fetch_graph":"https://pith.science/api/pith-number/A4BVCZGNZIBGSYT2MLIMLNHYQ4/graph.json","fetch_events":"https://pith.science/api/pith-number/A4BVCZGNZIBGSYT2MLIMLNHYQ4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4/action/storage_attestation","attest_author":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4/action/author_attestation","sign_citation":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4/action/citation_signature","submit_replication":"https://pith.science/pith/A4BVCZGNZIBGSYT2MLIMLNHYQ4/action/replication_record"}},"created_at":"2026-05-18T02:46:59.100001+00:00","updated_at":"2026-05-18T02:46:59.100001+00:00"}