{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:EDTXTJTQEG7PI4SDOFQZVV7BLA","short_pith_number":"pith:EDTXTJTQ","schema_version":"1.0","canonical_sha256":"20e779a67021bef4724371619ad7e15805c4de03ab4afd0cadaac2c3c4b35c95","source":{"kind":"arxiv","id":"1410.2457","version":3},"attestation_state":"computed","paper":{"title":"Receiver-based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"stat.AP","authors_text":"Abdullatif Al-Rabah, Anum Ali, Mudassir Masood, Tareq Y. Al-Naffouri","submitted_at":"2014-10-08T11:15:27Z","abstract_excerpt":"Clipping is one of the simplest peak-to-average power ratio (PAPR) reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission signal degrades system performance, and clipping mitigation is required at the receiver for information restoration. In this work, we acknowledge the sparse nature of the clipping signal and propose a low-complexity Bayesian clipping estimation scheme. The proposed scheme utilizes a priori information about the sparsity rate and noise variance for enhanced recovery. At the same time, the proposed scheme is robust agai"},"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":"1410.2457","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-10-08T11:15:27Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"9d5898af9f1fe1d80b870e86ab4ca4a8e8399e20d6652fc27a61b40e0867307c","abstract_canon_sha256":"d9abcf3d0a856ee6afef43816c1e48b658d002fb6c10e7bcc92f07ce1edab810"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:39:39.961265Z","signature_b64":"ABAnuX45Ze5yg6pBE1GrlxKVmVffoSlBGIzCyogcOBqIFlLhAVkvZJ3OfhdRKuGV0rxrpE009c9oAPwUtMEPDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20e779a67021bef4724371619ad7e15805c4de03ab4afd0cadaac2c3c4b35c95","last_reissued_at":"2026-05-18T02:39:39.960724Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:39:39.960724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Receiver-based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"stat.AP","authors_text":"Abdullatif Al-Rabah, Anum Ali, Mudassir Masood, Tareq Y. Al-Naffouri","submitted_at":"2014-10-08T11:15:27Z","abstract_excerpt":"Clipping is one of the simplest peak-to-average power ratio (PAPR) reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission signal degrades system performance, and clipping mitigation is required at the receiver for information restoration. In this work, we acknowledge the sparse nature of the clipping signal and propose a low-complexity Bayesian clipping estimation scheme. The proposed scheme utilizes a priori information about the sparsity rate and noise variance for enhanced recovery. At the same time, the proposed scheme is robust agai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.2457","kind":"arxiv","version":3},"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":"1410.2457","created_at":"2026-05-18T02:39:39.960802+00:00"},{"alias_kind":"arxiv_version","alias_value":"1410.2457v3","created_at":"2026-05-18T02:39:39.960802+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.2457","created_at":"2026-05-18T02:39:39.960802+00:00"},{"alias_kind":"pith_short_12","alias_value":"EDTXTJTQEG7P","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"EDTXTJTQEG7PI4SD","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"EDTXTJTQ","created_at":"2026-05-18T12:28:25.294606+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/EDTXTJTQEG7PI4SDOFQZVV7BLA","json":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA.json","graph_json":"https://pith.science/api/pith-number/EDTXTJTQEG7PI4SDOFQZVV7BLA/graph.json","events_json":"https://pith.science/api/pith-number/EDTXTJTQEG7PI4SDOFQZVV7BLA/events.json","paper":"https://pith.science/paper/EDTXTJTQ"},"agent_actions":{"view_html":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA","download_json":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA.json","view_paper":"https://pith.science/paper/EDTXTJTQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1410.2457&json=true","fetch_graph":"https://pith.science/api/pith-number/EDTXTJTQEG7PI4SDOFQZVV7BLA/graph.json","fetch_events":"https://pith.science/api/pith-number/EDTXTJTQEG7PI4SDOFQZVV7BLA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA/action/storage_attestation","attest_author":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA/action/author_attestation","sign_citation":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA/action/citation_signature","submit_replication":"https://pith.science/pith/EDTXTJTQEG7PI4SDOFQZVV7BLA/action/replication_record"}},"created_at":"2026-05-18T02:39:39.960802+00:00","updated_at":"2026-05-18T02:39:39.960802+00:00"}