{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:NI3IREK7ELOCCMX7TD2RFJWBTR","short_pith_number":"pith:NI3IREK7","schema_version":"1.0","canonical_sha256":"6a3688915f22dc2132ff98f512a6c19c458494bb0218359c4faf1b2cf5df88ac","source":{"kind":"arxiv","id":"1106.2325","version":1},"attestation_state":"computed","paper":{"title":"SVM and Dimensionality Reduction in Cognitive Radio with Experimental Validation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Robert C. Qiu, Shujie Hou, Zhe Chen, Zhen Hu","submitted_at":"2011-06-12T18:03:06Z","abstract_excerpt":"There is a trend of applying machine learning algorithms to cognitive radio. One fundamental open problem is to determine how and where these algorithms are useful in a cognitive radio network. In radar and sensing signal processing, the control of degrees of freedom (DOF)---or dimensionality---is the first step, called pre-processing. In this paper, the combination of dimensionality reduction with SVM is proposed apart from only applying SVM for classification in cognitive radio. Measured Wi-Fi signals with high signal to noise ratio (SNR) are employed to the experiments. The DOF of Wi-Fi sig"},"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":"1106.2325","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2011-06-12T18:03:06Z","cross_cats_sorted":[],"title_canon_sha256":"4849779fea12e0681b3da448cfa1b4efd34289c3006db3e95299dd34b1690824","abstract_canon_sha256":"a0bbcff2963de93f6f8c3ca6e5341aac4fa76f09cbb984e859d60efddaaecb84"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:20:05.995960Z","signature_b64":"4Rw7+xw3xPqikulFImK/MOPYE4kbxAd6KofSV3W5D53/7tvEW0OK4l9O3buWHaD/f/k+SFTUdVj18NPLOqKRDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a3688915f22dc2132ff98f512a6c19c458494bb0218359c4faf1b2cf5df88ac","last_reissued_at":"2026-05-18T04:20:05.995512Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:20:05.995512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SVM and Dimensionality Reduction in Cognitive Radio with Experimental Validation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Robert C. Qiu, Shujie Hou, Zhe Chen, Zhen Hu","submitted_at":"2011-06-12T18:03:06Z","abstract_excerpt":"There is a trend of applying machine learning algorithms to cognitive radio. One fundamental open problem is to determine how and where these algorithms are useful in a cognitive radio network. In radar and sensing signal processing, the control of degrees of freedom (DOF)---or dimensionality---is the first step, called pre-processing. In this paper, the combination of dimensionality reduction with SVM is proposed apart from only applying SVM for classification in cognitive radio. Measured Wi-Fi signals with high signal to noise ratio (SNR) are employed to the experiments. The DOF of Wi-Fi sig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.2325","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":"1106.2325","created_at":"2026-05-18T04:20:05.995582+00:00"},{"alias_kind":"arxiv_version","alias_value":"1106.2325v1","created_at":"2026-05-18T04:20:05.995582+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.2325","created_at":"2026-05-18T04:20:05.995582+00:00"},{"alias_kind":"pith_short_12","alias_value":"NI3IREK7ELOC","created_at":"2026-05-18T12:26:37.096874+00:00"},{"alias_kind":"pith_short_16","alias_value":"NI3IREK7ELOCCMX7","created_at":"2026-05-18T12:26:37.096874+00:00"},{"alias_kind":"pith_short_8","alias_value":"NI3IREK7","created_at":"2026-05-18T12:26:37.096874+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/NI3IREK7ELOCCMX7TD2RFJWBTR","json":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR.json","graph_json":"https://pith.science/api/pith-number/NI3IREK7ELOCCMX7TD2RFJWBTR/graph.json","events_json":"https://pith.science/api/pith-number/NI3IREK7ELOCCMX7TD2RFJWBTR/events.json","paper":"https://pith.science/paper/NI3IREK7"},"agent_actions":{"view_html":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR","download_json":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR.json","view_paper":"https://pith.science/paper/NI3IREK7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1106.2325&json=true","fetch_graph":"https://pith.science/api/pith-number/NI3IREK7ELOCCMX7TD2RFJWBTR/graph.json","fetch_events":"https://pith.science/api/pith-number/NI3IREK7ELOCCMX7TD2RFJWBTR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR/action/storage_attestation","attest_author":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR/action/author_attestation","sign_citation":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR/action/citation_signature","submit_replication":"https://pith.science/pith/NI3IREK7ELOCCMX7TD2RFJWBTR/action/replication_record"}},"created_at":"2026-05-18T04:20:05.995582+00:00","updated_at":"2026-05-18T04:20:05.995582+00:00"}