{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2QSSSX63INSIFGYGA2OTPEZXH6","short_pith_number":"pith:2QSSSX63","schema_version":"1.0","canonical_sha256":"d425295fdb4364829b06069d3793373f9348e0a6eb59aaefd952f4e719a0428e","source":{"kind":"arxiv","id":"1803.01819","version":3},"attestation_state":"computed","paper":{"title":"Sub-Nyquist Radar: Principles and Prototypes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Kumar Vijay Mishra, Yonina C. Eldar","submitted_at":"2018-03-05T18:26:23Z","abstract_excerpt":"In the past few years, new approaches to radar signal processing have been introduced which allow the radar to perform signal detection and parameter estimation from much fewer measurements than that required by Nyquist sampling. These systems - referred to as sub-Nyquist radars - model the received signal as having finite rate of innovation and employ the Xampling framework to obtain low-rate samples of the signal. Sub-Nyquist radars exploit the fact that the target scene is sparse facilitating the use of compressed sensing (CS) methods in signal recovery. In this chapter, we review several p"},"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":"1803.01819","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-03-05T18:26:23Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"16b8625ec168b18b46370f300406a14843c99e22964aca7e1426d285466f41e1","abstract_canon_sha256":"dca323b7a029f413959e8fbee3f3baa51f03cf57824ed6ef99f37dd16c38a803"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:44.179754Z","signature_b64":"y0DDoUDvBQ+2/ikH6EYV5c1X6ax6mzPKF4WHQcLdsJNssMca7J6rfQB47IaC5qjpuCtrSE+AKHRj7AVx1/UWAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d425295fdb4364829b06069d3793373f9348e0a6eb59aaefd952f4e719a0428e","last_reissued_at":"2026-05-17T23:54:44.179155Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:44.179155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sub-Nyquist Radar: Principles and Prototypes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Kumar Vijay Mishra, Yonina C. Eldar","submitted_at":"2018-03-05T18:26:23Z","abstract_excerpt":"In the past few years, new approaches to radar signal processing have been introduced which allow the radar to perform signal detection and parameter estimation from much fewer measurements than that required by Nyquist sampling. These systems - referred to as sub-Nyquist radars - model the received signal as having finite rate of innovation and employ the Xampling framework to obtain low-rate samples of the signal. Sub-Nyquist radars exploit the fact that the target scene is sparse facilitating the use of compressed sensing (CS) methods in signal recovery. In this chapter, we review several p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.01819","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":"1803.01819","created_at":"2026-05-17T23:54:44.179233+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.01819v3","created_at":"2026-05-17T23:54:44.179233+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.01819","created_at":"2026-05-17T23:54:44.179233+00:00"},{"alias_kind":"pith_short_12","alias_value":"2QSSSX63INSI","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"2QSSSX63INSIFGYG","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"2QSSSX63","created_at":"2026-05-18T12:32:02.567920+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/2QSSSX63INSIFGYGA2OTPEZXH6","json":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6.json","graph_json":"https://pith.science/api/pith-number/2QSSSX63INSIFGYGA2OTPEZXH6/graph.json","events_json":"https://pith.science/api/pith-number/2QSSSX63INSIFGYGA2OTPEZXH6/events.json","paper":"https://pith.science/paper/2QSSSX63"},"agent_actions":{"view_html":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6","download_json":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6.json","view_paper":"https://pith.science/paper/2QSSSX63","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.01819&json=true","fetch_graph":"https://pith.science/api/pith-number/2QSSSX63INSIFGYGA2OTPEZXH6/graph.json","fetch_events":"https://pith.science/api/pith-number/2QSSSX63INSIFGYGA2OTPEZXH6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6/action/storage_attestation","attest_author":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6/action/author_attestation","sign_citation":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6/action/citation_signature","submit_replication":"https://pith.science/pith/2QSSSX63INSIFGYGA2OTPEZXH6/action/replication_record"}},"created_at":"2026-05-17T23:54:44.179233+00:00","updated_at":"2026-05-17T23:54:44.179233+00:00"}