{"id":"https://openalex.org/W4289829870","doi":"https://doi.org/10.1109/spcom55316.2022.9840759","title":"Upscaling HOA Signals using Order Recursive Matching Pursuit in Spherical Harmonics Domain","display_name":"Upscaling HOA Signals using Order Recursive Matching Pursuit in Spherical Harmonics Domain","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4289829870","doi":"https://doi.org/10.1109/spcom55316.2022.9840759"},"language":"en","primary_location":{"id":"doi:10.1109/spcom55316.2022.9840759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840759","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075895321","display_name":"Gyanajyoti Routray","orcid":"https://orcid.org/0000-0002-7310-9539"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gyanajyoti Routray","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011541260","display_name":"Sumit Kumar Sahu","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumit Kumar Sahu","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085503354","display_name":"Rajesh M. Hegde","orcid":"https://orcid.org/0000-0002-6142-7724"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh M. Hegde","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9925000071525574,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/ambisonics","display_name":"Ambisonics","score":0.9764320850372314},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.7182142734527588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444735527038574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5665022134780884},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5492022037506104},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.469819575548172},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4595794081687927},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4451601505279541},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35653024911880493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2942603528499603},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.27647721767425537},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.26804739236831665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2606744170188904},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.20658469200134277}],"concepts":[{"id":"https://openalex.org/C47726159","wikidata":"https://www.wikidata.org/wiki/Q457547","display_name":"Ambisonics","level":3,"score":0.9764320850372314},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7182142734527588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444735527038574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5665022134780884},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5492022037506104},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.469819575548172},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4595794081687927},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4451601505279541},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35653024911880493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2942603528499603},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.27647721767425537},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.26804739236831665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2606744170188904},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.20658469200134277},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom55316.2022.9840759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840759","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W62656364","https://openalex.org/W4387871131","https://openalex.org/W2403497458","https://openalex.org/W2305368260","https://openalex.org/W3108333885","https://openalex.org/W1978521983","https://openalex.org/W3216979959","https://openalex.org/W4251115075","https://openalex.org/W2339165443","https://openalex.org/W3017143887"],"abstract_inverted_index":{"Spatia1":[0],"sound":[1,35,136],"acquisition":[2],"in":[3,128,133],"Higher-Order":[4],"Ambisonics":[5],"(HOA)":[6],"is":[7,30,65,93,116,141],"constrained":[8],"by":[9],"hardware":[10,41],"complexity":[11,42],"and":[12,43,46,131,148],"storage":[13,44],"space.":[14],"In":[15,59],"contrast,":[16],"the":[17,34,56,70,84,89,96,102,112,119,134],"low":[18,25,37],"order":[19,38,51],"ambisonics":[20,99],"(B-format":[21],"Signals)":[22],"suffers":[23],"from":[24,95],"spatial":[26,57,103,107],"resolution.":[27,58,108],"So":[28],"it":[29],"worthwhile":[31],"to":[32,39,48,54,82,100],"acquire":[33],"at":[36],"reduce":[40],"requirement":[45],"upscale":[47],"a":[49,62,123,145],"higher":[50],"while":[52],"reproducing":[53],"improve":[55],"this":[60],"work,":[61],"sparse":[63],"framework":[64],"formulated":[66],"that":[67],"efficiently":[68],"uses":[69],"Order":[71],"Recursive":[72],"Matching":[73],"Pursuit":[74],"(ORMP)":[75],"algorithm":[76],"for":[77],"Multiple":[78],"Measurement":[79],"Vectors":[80],"(MMV)":[81],"decompose":[83],"low-order":[85,98],"encoded":[86],"signal.":[87],"Subsequently,":[88],"upscaled":[90,129],"HOA":[91],"signal":[92],"obtained":[94],"decomposed":[97],"reproduce":[101],"audio":[104],"with":[105,150],"high":[106],"The":[109,138],"performance":[110],"of":[111],"proposed":[113],"upscaling":[114],"method":[115],"evaluated":[117],"using":[118,144],"metrics":[120],"such":[121],"as":[122],"Mean":[124],"Square":[125],"Error":[126],"(MSE)":[127],"signals":[130],"error":[132],"reproduced":[135],"field.":[137],"subjective":[139],"evaluation":[140],"carried":[142],"out":[143],"listening":[146],"test":[147],"compared":[149],"state-of-art":[151],"methods.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
