{"id":"https://openalex.org/W1980712376","doi":"https://doi.org/10.1109/sam.2014.6882412","title":"Quantization-based complexity reduction for range-dependent modified Gilbert model","display_name":"Quantization-based complexity reduction for range-dependent modified Gilbert model","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1980712376","doi":"https://doi.org/10.1109/sam.2014.6882412","mag":"1980712376"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2014.6882412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2014.6882412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067162525","display_name":"Veronika Shivaldova","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I4210105054","display_name":"Christian Doppler Laboratory for Thermoelectricity","ror":"https://ror.org/01cbw5x35","country_code":"AT","type":"facility","lineage":["https://openalex.org/I129774422","https://openalex.org/I145847075","https://openalex.org/I4210105054"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Veronika Shivaldova","raw_affiliation_strings":["Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility, Vienna University of Technology Gusshausstrasse, Vienna, Austria","Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility, Vienna University of Technology Gusshausstrasse, Vienna, Austria","institution_ids":["https://openalex.org/I4210105054"]},{"raw_affiliation_string":"Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014100872","display_name":"Christoph F. Mecklenbr\u00e4uker","orcid":"https://orcid.org/0000-0001-9571-0379"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christoph F. Mecklenbrauker","raw_affiliation_strings":["Technische Universitat Wien, Wien, Wien, AT","Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universitat Wien, Wien, Wien, AT","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067162525"],"corresponding_institution_ids":["https://openalex.org/I145847075","https://openalex.org/I4210105054"],"apc_list":null,"apc_paid":null,"fwci":0.41651687,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68675475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.812123715877533},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.7978793382644653},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6821438074111938},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5851298570632935},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5823224186897278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5376535654067993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5317577123641968},{"id":"https://openalex.org/keywords/dimensional-reduction","display_name":"Dimensional reduction","score":0.42390885949134827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36659881472587585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2267659306526184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07543167471885681}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.812123715877533},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7978793382644653},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6821438074111938},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5851298570632935},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5823224186897278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5376535654067993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5317577123641968},{"id":"https://openalex.org/C2780091087","wikidata":"https://www.wikidata.org/wiki/Q3092131","display_name":"Dimensional reduction","level":2,"score":0.42390885949134827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36659881472587585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2267659306526184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07543167471885681},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2014.6882412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2014.6882412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2031379031","https://openalex.org/W2060742274","https://openalex.org/W2061098925","https://openalex.org/W2063142364","https://openalex.org/W2086699924","https://openalex.org/W2106877366","https://openalex.org/W2114420919","https://openalex.org/W2116150769","https://openalex.org/W2134383396","https://openalex.org/W6665882401","https://openalex.org/W6677202410"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W3184042116","https://openalex.org/W4362029000","https://openalex.org/W4287981316","https://openalex.org/W4360616051","https://openalex.org/W1485642969","https://openalex.org/W2276594353","https://openalex.org/W2994043216","https://openalex.org/W783379390","https://openalex.org/W269095843"],"abstract_inverted_index":{"In":[0],"this":[1,55],"contribution":[2],"we":[3,24,63,85],"propose":[4],"an":[5],"algorithm":[6],"for":[7],"dimension":[8,23],"reduction":[9,19],"of":[10,20,42,45,80],"the":[11,21,40,43,49,58,72],"previously":[12],"introduced":[13],"range-dependent":[14],"modified":[15],"Gilbert":[16],"model.":[17,96],"For":[18],"model":[22,29,50,60,82],"suggest":[25],"to":[26],"jointly":[27],"quantize":[28],"parameters":[30],"estimated":[31],"based":[32,53],"on":[33,48,54],"very":[34],"narrow":[35],"measurement":[36],"intervals.":[37],"We":[38],"analyze":[39],"influence":[41],"number":[44],"quantization":[46],"levels":[47],"performance":[51],"and":[52,68],"analysis":[56],"find":[57],"optimal":[59],"dimension.":[61],"Furthermore,":[62],"show":[64],"that":[65,87],"selected":[66],"environmental":[67],"propagation":[69],"effects,":[70],"influencing":[71],"error":[73],"pattern,":[74],"can":[75,90],"be":[76,91],"identified":[77],"by":[78,94],"means":[79],"quantizing":[81],"parameters.":[83],"Finally":[84],"demonstrate":[86],"these":[88],"effects":[89],"accurately":[92],"reproduced":[93],"our":[95]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
