Minimum-Phase HRTF Modeling of Pinna Spectral Notches using Group Delay Decomposition Article Swipe
C Sandeep Reddy
,
Rajesh M. Hegde
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.01872
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.01872
Accurate reconstruction of HRTFs is important in the development of high quality binaural sound synthesis systems. Conventionally, minimum phase HRTF model development for reconstruction of HRTFs has been limited to minimum phase-pure delay models which ignore the all pass component of the HRTF. In this paper, a novel method for minimum phase HRTF modelling of Pinna Spectral Notches (PSNs) using group delay decomposition is proposed. The proposed model captures the PSNs contributed by both the minimum phase and all pass component of HRTF thus facilitating an accurate reconstruction of HRTFs. The purely minimum phase HRTF components and their corresponding spatial angles are first identified using Fourier Bessel Series method that ensures a continuous evolution of the PSNs. The minimum phase-pure delay model is used to reconstruct HRTF for these spatial angles. Subsequently, the spatial angles which require both the minimum phase and all pass components are modelled using an all-pass filter cascaded with minimum-phase pure-delay model. Performance of the proposed model is evaluated by conducting experiments on PSN extraction, cross coherence analysis, and binaural synthesis. Both objective and subjective evaluation results are used to indicate the significance of the proposed model in binaural sound synthesis.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1711.01872
- https://arxiv.org/pdf/1711.01872
- OA Status
- green
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2767538536
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2767538536Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1711.01872Digital Object Identifier
- Title
-
Minimum-Phase HRTF Modeling of Pinna Spectral Notches using Group Delay DecompositionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-11-06Full publication date if available
- Authors
-
C Sandeep Reddy, Rajesh M. HegdeList of authors in order
- Landing page
-
https://arxiv.org/abs/1711.01872Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1711.01872Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1711.01872Direct OA link when available
- Concepts
-
Group delay and phase delay, Pinna, Decomposition, Group (periodic table), Phase (matter), Spectral analysis, Mathematics, Acoustics, Speech recognition, Computer science, Physics, Telecommunications, Medicine, Anatomy, Chemistry, Spectroscopy, Bandwidth (computing), Quantum mechanics, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2767538536 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.1711.01872 |
| ids.doi | https://doi.org/10.48550/arxiv.1711.01872 |
| ids.mag | 2767538536 |
| ids.openalex | https://openalex.org/W2767538536 |
| fwci | |
| type | preprint |
| title | Minimum-Phase HRTF Modeling of Pinna Spectral Notches using Group Delay Decomposition |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10860 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1711 |
| topics[0].subfield.display_name | Signal Processing |
| topics[0].display_name | Speech and Audio Processing |
| topics[1].id | https://openalex.org/T11698 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9926000237464905 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1910 |
| topics[1].subfield.display_name | Oceanography |
| topics[1].display_name | Underwater Acoustics Research |
| topics[2].id | https://openalex.org/T11447 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9865999817848206 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1711 |
| topics[2].subfield.display_name | Signal Processing |
| topics[2].display_name | Blind Source Separation Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C123792056 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7903429269790649 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q365988 |
| concepts[0].display_name | Group delay and phase delay |
| concepts[1].id | https://openalex.org/C2781380971 |
| concepts[1].level | 2 |
| concepts[1].score | 0.750012993812561 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q532930 |
| concepts[1].display_name | Pinna |
| concepts[2].id | https://openalex.org/C124681953 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5615238547325134 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q339062 |
| concepts[2].display_name | Decomposition |
| concepts[3].id | https://openalex.org/C2781311116 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5359358191490173 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q83306 |
| concepts[3].display_name | Group (periodic table) |
| concepts[4].id | https://openalex.org/C44280652 |
| concepts[4].level | 2 |
| concepts[4].score | 0.507004976272583 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q104837 |
| concepts[4].display_name | Phase (matter) |
| concepts[5].id | https://openalex.org/C2983668108 |
| concepts[5].level | 3 |
| concepts[5].score | 0.4500392973423004 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q280453 |
| concepts[5].display_name | Spectral analysis |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4498615562915802 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| concepts[7].id | https://openalex.org/C24890656 |
| concepts[7].level | 1 |
| concepts[7].score | 0.44417721033096313 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q82811 |
| concepts[7].display_name | Acoustics |
| concepts[8].id | https://openalex.org/C28490314 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3750282824039459 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q189436 |
| concepts[8].display_name | Speech recognition |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.2778322100639343 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C121332964 |
| concepts[10].level | 0 |
| concepts[10].score | 0.2703832983970642 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[10].display_name | Physics |
| concepts[11].id | https://openalex.org/C76155785 |
| concepts[11].level | 1 |
| concepts[11].score | 0.1775781512260437 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[11].display_name | Telecommunications |
| concepts[12].id | https://openalex.org/C71924100 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0994635820388794 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[12].display_name | Medicine |
| concepts[13].id | https://openalex.org/C105702510 |
| concepts[13].level | 1 |
| concepts[13].score | 0.08473038673400879 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q514 |
| concepts[13].display_name | Anatomy |
| concepts[14].id | https://openalex.org/C185592680 |
| concepts[14].level | 0 |
| concepts[14].score | 0.06148669123649597 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[14].display_name | Chemistry |
| concepts[15].id | https://openalex.org/C32891209 |
| concepts[15].level | 2 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q483666 |
| concepts[15].display_name | Spectroscopy |
| concepts[16].id | https://openalex.org/C2776257435 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1576430 |
| concepts[16].display_name | Bandwidth (computing) |
| concepts[17].id | https://openalex.org/C62520636 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[17].display_name | Quantum mechanics |
| concepts[18].id | https://openalex.org/C178790620 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[18].display_name | Organic chemistry |
| keywords[0].id | https://openalex.org/keywords/group-delay-and-phase-delay |
| keywords[0].score | 0.7903429269790649 |
| keywords[0].display_name | Group delay and phase delay |
| keywords[1].id | https://openalex.org/keywords/pinna |
| keywords[1].score | 0.750012993812561 |
| keywords[1].display_name | Pinna |
| keywords[2].id | https://openalex.org/keywords/decomposition |
| keywords[2].score | 0.5615238547325134 |
| keywords[2].display_name | Decomposition |
| keywords[3].id | https://openalex.org/keywords/group |
| keywords[3].score | 0.5359358191490173 |
| keywords[3].display_name | Group (periodic table) |
| keywords[4].id | https://openalex.org/keywords/phase |
| keywords[4].score | 0.507004976272583 |
| keywords[4].display_name | Phase (matter) |
| keywords[5].id | https://openalex.org/keywords/spectral-analysis |
| keywords[5].score | 0.4500392973423004 |
| keywords[5].display_name | Spectral analysis |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.4498615562915802 |
| keywords[6].display_name | Mathematics |
| keywords[7].id | https://openalex.org/keywords/acoustics |
| keywords[7].score | 0.44417721033096313 |
| keywords[7].display_name | Acoustics |
| keywords[8].id | https://openalex.org/keywords/speech-recognition |
| keywords[8].score | 0.3750282824039459 |
| keywords[8].display_name | Speech recognition |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.2778322100639343 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/physics |
| keywords[10].score | 0.2703832983970642 |
| keywords[10].display_name | Physics |
| keywords[11].id | https://openalex.org/keywords/telecommunications |
| keywords[11].score | 0.1775781512260437 |
| keywords[11].display_name | Telecommunications |
| keywords[12].id | https://openalex.org/keywords/medicine |
| keywords[12].score | 0.0994635820388794 |
| keywords[12].display_name | Medicine |
| keywords[13].id | https://openalex.org/keywords/anatomy |
| keywords[13].score | 0.08473038673400879 |
| keywords[13].display_name | Anatomy |
| keywords[14].id | https://openalex.org/keywords/chemistry |
| keywords[14].score | 0.06148669123649597 |
| keywords[14].display_name | Chemistry |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:1711.01872 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/1711.01872 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/1711.01872 |
| locations[1].id | doi:10.48550/arxiv.1711.01872 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.1711.01872 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5037814420 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3768-3872 |
| authorships[0].author.display_name | C Sandeep Reddy |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sandeep Reddy C |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5085503354 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6142-7724 |
| authorships[1].author.display_name | Rajesh M. Hegde |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Rajesh M Hegde |
| authorships[1].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/1711.01872 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Minimum-Phase HRTF Modeling of Pinna Spectral Notches using Group Delay Decomposition |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10860 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1711 |
| primary_topic.subfield.display_name | Signal Processing |
| primary_topic.display_name | Speech and Audio Processing |
| related_works | https://openalex.org/W4213109516, https://openalex.org/W1993148047, https://openalex.org/W1976396707, https://openalex.org/W4323826581, https://openalex.org/W4297386400, https://openalex.org/W1521587485, https://openalex.org/W1595314261, https://openalex.org/W2007066408, https://openalex.org/W2010051991, https://openalex.org/W2425829832 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:1711.01872 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/1711.01872 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1711.01872 |
| primary_location.id | pmh:oai:arXiv.org:1711.01872 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/1711.01872 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/1711.01872 |
| publication_date | 2017-11-06 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2551728913, https://openalex.org/W2108668360, https://openalex.org/W2039845456, https://openalex.org/W2106325442, https://openalex.org/W2091779588, https://openalex.org/W2038684692, https://openalex.org/W2003190494, https://openalex.org/W1896922585, https://openalex.org/W608300865, https://openalex.org/W2012835248, https://openalex.org/W2029835172 |
| referenced_works_count | 11 |
| abstract_inverted_index.a | 46, 111 |
| abstract_inverted_index.In | 43 |
| abstract_inverted_index.an | 85, 148 |
| abstract_inverted_index.by | 72, 163 |
| abstract_inverted_index.in | 6, 191 |
| abstract_inverted_index.is | 4, 63, 122, 161 |
| abstract_inverted_index.of | 2, 9, 24, 40, 54, 81, 88, 114, 157, 187 |
| abstract_inverted_index.on | 166 |
| abstract_inverted_index.to | 29, 124, 183 |
| abstract_inverted_index.PSN | 167 |
| abstract_inverted_index.The | 65, 90, 117 |
| abstract_inverted_index.all | 37, 78, 142 |
| abstract_inverted_index.and | 77, 96, 141, 172, 177 |
| abstract_inverted_index.are | 101, 145, 181 |
| abstract_inverted_index.for | 22, 49, 127 |
| abstract_inverted_index.has | 26 |
| abstract_inverted_index.the | 7, 36, 41, 69, 74, 115, 132, 138, 158, 185, 188 |
| abstract_inverted_index.Both | 175 |
| abstract_inverted_index.HRTF | 19, 52, 82, 94, 126 |
| abstract_inverted_index.PSNs | 70 |
| abstract_inverted_index.been | 27 |
| abstract_inverted_index.both | 73, 137 |
| abstract_inverted_index.high | 10 |
| abstract_inverted_index.pass | 38, 79, 143 |
| abstract_inverted_index.that | 109 |
| abstract_inverted_index.this | 44 |
| abstract_inverted_index.thus | 83 |
| abstract_inverted_index.used | 123, 182 |
| abstract_inverted_index.with | 152 |
| abstract_inverted_index.HRTF. | 42 |
| abstract_inverted_index.HRTFs | 3, 25 |
| abstract_inverted_index.PSNs. | 116 |
| abstract_inverted_index.Pinna | 55 |
| abstract_inverted_index.cross | 169 |
| abstract_inverted_index.delay | 32, 61, 120 |
| abstract_inverted_index.first | 102 |
| abstract_inverted_index.group | 60 |
| abstract_inverted_index.model | 20, 67, 121, 160, 190 |
| abstract_inverted_index.novel | 47 |
| abstract_inverted_index.phase | 18, 51, 76, 93, 140 |
| abstract_inverted_index.sound | 13, 193 |
| abstract_inverted_index.their | 97 |
| abstract_inverted_index.these | 128 |
| abstract_inverted_index.using | 59, 104, 147 |
| abstract_inverted_index.which | 34, 135 |
| abstract_inverted_index.(PSNs) | 58 |
| abstract_inverted_index.Bessel | 106 |
| abstract_inverted_index.HRTFs. | 89 |
| abstract_inverted_index.Series | 107 |
| abstract_inverted_index.angles | 100, 134 |
| abstract_inverted_index.filter | 150 |
| abstract_inverted_index.ignore | 35 |
| abstract_inverted_index.method | 48, 108 |
| abstract_inverted_index.model. | 155 |
| abstract_inverted_index.models | 33 |
| abstract_inverted_index.paper, | 45 |
| abstract_inverted_index.purely | 91 |
| abstract_inverted_index.Fourier | 105 |
| abstract_inverted_index.Notches | 57 |
| abstract_inverted_index.angles. | 130 |
| abstract_inverted_index.ensures | 110 |
| abstract_inverted_index.limited | 28 |
| abstract_inverted_index.minimum | 17, 30, 50, 75, 92, 118, 139 |
| abstract_inverted_index.quality | 11 |
| abstract_inverted_index.require | 136 |
| abstract_inverted_index.results | 180 |
| abstract_inverted_index.spatial | 99, 129, 133 |
| abstract_inverted_index.Accurate | 0 |
| abstract_inverted_index.Spectral | 56 |
| abstract_inverted_index.accurate | 86 |
| abstract_inverted_index.all-pass | 149 |
| abstract_inverted_index.binaural | 12, 173, 192 |
| abstract_inverted_index.captures | 68 |
| abstract_inverted_index.cascaded | 151 |
| abstract_inverted_index.indicate | 184 |
| abstract_inverted_index.modelled | 146 |
| abstract_inverted_index.proposed | 66, 159, 189 |
| abstract_inverted_index.systems. | 15 |
| abstract_inverted_index.analysis, | 171 |
| abstract_inverted_index.coherence | 170 |
| abstract_inverted_index.component | 39, 80 |
| abstract_inverted_index.evaluated | 162 |
| abstract_inverted_index.evolution | 113 |
| abstract_inverted_index.important | 5 |
| abstract_inverted_index.modelling | 53 |
| abstract_inverted_index.objective | 176 |
| abstract_inverted_index.proposed. | 64 |
| abstract_inverted_index.synthesis | 14 |
| abstract_inverted_index.components | 95, 144 |
| abstract_inverted_index.conducting | 164 |
| abstract_inverted_index.continuous | 112 |
| abstract_inverted_index.evaluation | 179 |
| abstract_inverted_index.identified | 103 |
| abstract_inverted_index.phase-pure | 31, 119 |
| abstract_inverted_index.pure-delay | 154 |
| abstract_inverted_index.subjective | 178 |
| abstract_inverted_index.synthesis. | 174, 194 |
| abstract_inverted_index.Performance | 156 |
| abstract_inverted_index.contributed | 71 |
| abstract_inverted_index.development | 8, 21 |
| abstract_inverted_index.experiments | 165 |
| abstract_inverted_index.extraction, | 168 |
| abstract_inverted_index.reconstruct | 125 |
| abstract_inverted_index.facilitating | 84 |
| abstract_inverted_index.significance | 186 |
| abstract_inverted_index.Subsequently, | 131 |
| abstract_inverted_index.corresponding | 98 |
| abstract_inverted_index.decomposition | 62 |
| abstract_inverted_index.minimum-phase | 153 |
| abstract_inverted_index.reconstruction | 1, 23, 87 |
| abstract_inverted_index.Conventionally, | 16 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |