{"id":"https://openalex.org/W1894814132","doi":"https://doi.org/10.1109/icassp.1981.1171347","title":"A DFT-based residual-excited linear predictive coder (RELP) for 4.8 and 9.6kb/s","display_name":"A DFT-based residual-excited linear predictive coder (RELP) for 4.8 and 9.6kb/s","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1894814132","doi":"https://doi.org/10.1109/icassp.1981.1171347","mag":"1894814132"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5068163197","display_name":"H. Katterfeldt","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Katterfeldt","raw_affiliation_strings":["Research Institute Ulm, AEG Telefunken, Ulm, Germany","Research Institute Ulm, Ulm, West Germany"],"affiliations":[{"raw_affiliation_string":"Research Institute Ulm, AEG Telefunken, Ulm, Germany","institution_ids":[]},{"raw_affiliation_string":"Research Institute Ulm, Ulm, West Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068163197"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.175,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79565939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"824","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944999814033508,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9944999814033508,"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/algorithm","display_name":"Algorithm","score":0.6120354533195496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5163868069648743},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.514782190322876},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5071954727172852},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4675786793231964},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.4666728079319},{"id":"https://openalex.org/keywords/baseband","display_name":"Baseband","score":0.4467056691646576},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41887056827545166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3242028057575226},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20766502618789673},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1794203221797943},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1766524612903595}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6120354533195496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5163868069648743},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.514782190322876},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5071954727172852},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4675786793231964},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.4666728079319},{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.4467056691646576},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41887056827545166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3242028057575226},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20766502618789673},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1794203221797943},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1766524612903595},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1981.1171347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1955026803","https://openalex.org/W1967066785","https://openalex.org/W2122421556","https://openalex.org/W2137443926","https://openalex.org/W2165993224","https://openalex.org/W2167341025"],"related_works":["https://openalex.org/W1497578837","https://openalex.org/W4294892273","https://openalex.org/W2204547643","https://openalex.org/W4293208944","https://openalex.org/W2355697382","https://openalex.org/W2157434987","https://openalex.org/W2622425222","https://openalex.org/W2546635662","https://openalex.org/W2132134555","https://openalex.org/W2350062280"],"abstract_inverted_index":{"The":[0,17,48],"proposed":[1],"RELP":[2],"system":[3],"is":[4,57,90,116],"based":[5],"on":[6],"a":[7],"DFT":[8],"(discrete":[9],"Fourier":[10,19,36,69],"transform)":[11],"of":[12,51,108,123],"the":[13,31,35,65,67,82,86,94,99,109,113,119],"linear":[14],"prediction":[15],"residual.":[16],"base-band":[18,74],"coefficients,":[20],"derived":[21],"from":[22],"frequencies":[23],"0":[24],"to":[25,30,40],"800":[26],"Hz,":[27],"are":[28,38,71,126],"transmitted":[29,95],"receiver.":[32],"For":[33],"encoding,":[34],"coefficients":[37,70,75],"converted":[39],"polar":[41],"representation":[42],"re":[43],"<sup":[44],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[45],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i\u03c6</sup>":[46],".":[47],"quantization":[49],"accuracy":[50],"both":[52,124],"magnitude":[53],"and":[54],"phase":[55],"angle":[56],"controlled":[58,91],"by":[59,73,93],"an":[60],"adaptive-bit":[61],"assignment":[62],"algorithm.":[63],"At":[64],"receiver,":[66],"non-transmitted":[68],"replaced":[72],"which":[76],"have":[77],"been":[78],"frequency-shifted":[79],"pitch-synchronously.":[80],"In":[81,98],"4.8":[83],"kb/s":[84,101],"version,":[85,102],"spectral":[87],"translation":[88],"algorithm":[89],"only":[92],"pitch":[96],"frequency.":[97],"9.6":[100],"however,":[103],"additional":[104],"information":[105],"for":[106],"reconstruction":[107],"harmonic":[110],"structure":[111],"in":[112],"high-frequency":[114],"region":[115],"computed":[117],"at":[118],"transmitter.":[120],"Audio":[121],"tapes":[122],"versions":[125],"presented.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
