{"doi":"10.1109/icemi.2015.7494182","title":"Research on the method of weak signal detection based on bistable stochastic resonance","abstract":null,"journal":"2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","year":2015,"id":629402,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1629998,"name":"Cai Zhiquan","orcid":null,"position":1,"is_corresponding":false},{"id":1531595,"name":"Jinming Wang","orcid":null,"position":2,"is_corresponding":false},{"id":1629999,"name":"Zheng Xinxin","orcid":null,"position":3,"is_corresponding":false},{"id":1630000,"name":"Zhang Lin","orcid":null,"position":4,"is_corresponding":false},{"id":1629997,"name":"Li Zhonghu","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Research on the method of weak signal detection based on bistable stochastic resonance","abstract":"Weak signal which is submerged by strong noise in engineering is difficult to detect accurately. The bistable stochastic resonance (BSR) system is proposed in this paper to detect the weak signal. And some simulation researches, including single frequency signal stochastic resonance detection; multi frequency signal stochastic resonance detection and multistage stochastic resonance detection, are accomplished. Simulation results showed that the BSR system can effectively improve the signal to noise ratio of the output signal. Especially, the multistage stochastic resonance system has obvious advantages in the detection of weak signals submerged by strong noise.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W2434241360","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.3042152,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/7489073/7494162/07494182.pdf?arnumber=7494182","host_type":"publisher"},{"url":"https://doi.org/10.1109/icemi.2015.7494182","host_type":""}],"fields_of_study":["stochastic dynamics and bifurcation","Nonlinear Dynamics and Pattern Formation","Quantum chaos and dynamical systems"],"mesh_terms":[],"keywords":["Stochastic resonance","Bistability","SIGNAL (programming language)","Noise (video)","Detection theory","Signal transfer function","Computer science","Resonance (particle physics)","Stochastic process","Signal-to-noise ratio (imaging)","Control theory (sociology)","Acoustics","Physics","Mathematics","Artificial intelligence","Telecommunications","Analog signal","Statistics","Optoelectronics","Detector"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-05T18:29:22.362203Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}