{"id":"https://openalex.org/W2164299562","doi":"https://doi.org/10.1109/icassp.2009.4959572","title":"Spatial redundancy in Higher Order Ambisonics and its use for lowdelay lossless compression","display_name":"Spatial redundancy in Higher Order Ambisonics and its use for lowdelay lossless compression","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2164299562","doi":"https://doi.org/10.1109/icassp.2009.4959572","mag":"2164299562"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5088797142","display_name":"Erik Hellerud","orcid":null},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Erik Hellerud","raw_affiliation_strings":["Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091608839","display_name":"Audun Solvang","orcid":null},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Audun Solvang","raw_affiliation_strings":["Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068600771","display_name":"U. Peter Svensson","orcid":"https://orcid.org/0000-0002-2286-7305"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"U. Peter Svensson","raw_affiliation_strings":["Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Quantifiable Quality of Service in Communication Sy, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.3226,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.53535912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"55","issue":null,"first_page":"269","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ambisonics","display_name":"Ambisonics","score":0.94133460521698},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.8346614837646484},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.753714382648468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7502474784851074},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6239606142044067},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5203021168708801},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4908674359321594},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4513043165206909},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4358009099960327},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34536612033843994},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.30491334199905396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13975638151168823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07838264107704163}],"concepts":[{"id":"https://openalex.org/C47726159","wikidata":"https://www.wikidata.org/wiki/Q457547","display_name":"Ambisonics","level":3,"score":0.94133460521698},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.8346614837646484},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.753714382648468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502474784851074},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6239606142044067},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5203021168708801},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4908674359321594},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4513043165206909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4358009099960327},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34536612033843994},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.30491334199905396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13975638151168823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07838264107704163},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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":22,"referenced_works":["https://openalex.org/W1485794641","https://openalex.org/W1501526756","https://openalex.org/W1532754943","https://openalex.org/W1572955098","https://openalex.org/W1589215402","https://openalex.org/W1589639526","https://openalex.org/W1665941769","https://openalex.org/W1922168135","https://openalex.org/W1977867261","https://openalex.org/W2012315192","https://openalex.org/W2094989179","https://openalex.org/W2117678320","https://openalex.org/W2120871939","https://openalex.org/W2129501075","https://openalex.org/W2138026948","https://openalex.org/W2240104068","https://openalex.org/W4253826867","https://openalex.org/W6630246221","https://openalex.org/W6631802554","https://openalex.org/W6635161082","https://openalex.org/W6635413122","https://openalex.org/W6690250587"],"related_works":["https://openalex.org/W2184829026","https://openalex.org/W4317418940","https://openalex.org/W2072824490","https://openalex.org/W2013363868","https://openalex.org/W2038475054","https://openalex.org/W2237408746","https://openalex.org/W2241777496","https://openalex.org/W2924083900","https://openalex.org/W1571600724","https://openalex.org/W2948148442"],"abstract_inverted_index":{"When":[0],"Higher":[1,47],"Order":[2,48],"Ambisonics":[3,49],"(HOA)":[4],"is":[5,50],"used":[6],"to":[7,30,115],"represent":[8],"a":[9,16,64,80,87],"sound":[10],"field,":[11],"the":[12,41,101,105,110,113],"channels":[13],"might":[14],"contain":[15],"lot":[17],"of":[18,43,82,104],"redundancy":[19,24,45,60],"in":[20,28,79],"some":[21],"cases.":[22],"This":[23],"can":[25],"be":[26],"exploited":[27],"order":[29],"provide":[31],"more":[32],"efficient":[33],"network":[34],"transmission":[35],"and":[36,95,112],"storage.":[37],"In":[38],"this":[39,59],"work":[40],"amount":[42],"inter-channel":[44],"for":[46,69,93],"investigated.":[51],"Furthermore,":[52],"lossless":[53],"compression":[54],"techniques":[55],"that":[56],"build":[57],"on":[58,66],"are":[61],"studied,":[62],"with":[63,86],"focus":[65],"low-delay":[67],"algorithms":[68],"real-time,":[70],"or":[71],"two-way,":[72],"applications.":[73],"The":[74,97],"presented":[75],"encoding":[76,94],"scheme":[77],"results":[78],"delay":[81],"256":[83],"samples,":[84],"but":[85],"rather":[88],"high":[89],"computational":[90],"complexity":[91],"both":[92],"decoding.":[96],"system":[98],"also":[99],"preserves":[100],"desired":[102],"features":[103],"HOA":[106],"format,":[107],"such":[108],"as":[109],"scalability":[111],"ability":[114],"reproduce":[116],"over":[117],"arbitrary":[118],"loudspeaker":[119],"layouts.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}