{"id":"https://openalex.org/W7169727061","doi":"https://doi.org/10.5281/zenodo.21442641","title":"SigFeatX: Comprehensive signal feature extraction with decomposition, batch processing, and sklearn integration","display_name":"SigFeatX: Comprehensive signal feature extraction with decomposition, batch processing, and sklearn integration","publication_year":2026,"publication_date":"2026-07-19","ids":{"openalex":"https://openalex.org/W7169727061","doi":"https://doi.org/10.5281/zenodo.21442641"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.21442641","doi":"https://doi.org/10.5281/zenodo.21442641","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21442641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"volume":null,"type":"software","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.21442641","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128300362","display_name":"Diptiman Mohanta","orcid":"https://orcid.org/0009-0001-4744-8465","observed_orcids":["https://orcid.org/0009-0001-4744-8465"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohanta, Diptiman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5128300362"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5199999809265137,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5199999809265137,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.32350000739097595,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.020999999716877937,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-feature-extraction","display_name":"signal feature extraction","score":0.9929999709129333},{"id":"https://openalex.org/keywords/signal-decomposition","display_name":"signal decomposition","score":0.703000009059906},{"id":"https://openalex.org/keywords/ceemdan","display_name":"CEEMDAN","score":0.8820000290870667},{"id":"https://openalex.org/keywords/maximum-overlap-discrete-wavelet-transform","display_name":"maximal overlap discrete wavelet transform","score":0.5979999899864197},{"id":"https://openalex.org/keywords/batch-processing","display_name":"batch processing","score":0.460999995470047},{"id":"https://openalex.org/keywords/python-library","display_name":"Python library","score":0.7020000219345093},{"id":"https://openalex.org/keywords/adaptive-noise","display_name":"adaptive noise","score":0.4090000092983246},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.453000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6324999928474426},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6202999949455261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5859000086784363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4636000096797943},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32100000977516174},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2980000078678131},{"id":"https://openalex.org/C2777299493","wikidata":"https://www.wikidata.org/wiki/Q151480","display_name":"Sphinx","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.21442641","doi":"https://doi.org/10.5281/zenodo.21442641","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21442641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},{"id":"doi:10.5281/zenodo.21442642","doi":"https://doi.org/10.5281/zenodo.21442642","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21442642","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"}],"best_oa_location":{"id":"doi:10.5281/zenodo.21442641","doi":"https://doi.org/10.5281/zenodo.21442641","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21442641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6931104413","https://openalex.org/W7096678902","https://openalex.org/W2515014753","https://openalex.org/W7098682910","https://openalex.org/W3004696454","https://openalex.org/W6894058444","https://openalex.org/W6893146352","https://openalex.org/W7096135662","https://openalex.org/W3005250600","https://openalex.org/W4394248490"],"abstract_inverted_index":{"First":[0],"release":[1],"published":[2],"to":[3,12],"PyPI":[4],"\u2014":[5],"pip":[6],"install":[7],"SigFeatX.":[8],"Highlights":[9],"Correctness":[10],"fixes":[11],"RQA":[13],"(DET),":[14],"CEEMDAN":[15],"(adaptive":[16],"noise),":[17],"and":[18,31,59],"bubble":[19],"entropy,":[20],"each":[21],"validated":[22],"against":[23,37],"reference":[24,39],"behavior.":[25],"Performance:":[26],"FFT-vectorized":[27],"MODWT":[28],"(~45\u201370\u00d7":[29],"faster)":[30],"RQA;":[32],"opt-in":[33],"parallel":[34],"CEEMDAN.":[35],"Cross-validated":[36],"the":[38,69],"PyEMD":[40],"implementation.":[41],"Full":[42],"CI":[43],"(tests":[44],"+":[45,47,49],"ruff":[46],"mypy":[48],"docs),":[50],"Sphinx":[51],"docs":[52],"with":[53],"a":[54,60],"feature":[55],"glossary,":[56],"property-based":[57],"tests,":[58],"runnable":[61],"examples/playground.ipynb.":[62],"Citable":[63],"via":[64],"CITATION.cff.":[65],"See":[66],"CHANGELOG.md":[67],"for":[68],"full":[70],"0.4.0":[71],"entry.":[72]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-20T00:00:00"}