{"id":"https://openalex.org/W4375869338","doi":"https://doi.org/10.1109/icassp49357.2023.10094662","title":"Deep Learning Sparse Array Design Using Binary Switching Configurations","display_name":"Deep Learning Sparse Array Design Using Binary Switching Configurations","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869338","doi":"https://doi.org/10.1109/icassp49357.2023.10094662"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5087650402","display_name":"Syed A. Hamza","orcid":"https://orcid.org/0000-0002-8412-7310"},"institutions":[{"id":"https://openalex.org/I138659443","display_name":"Widener University","ror":"https://ror.org/00nsyd297","country_code":"US","type":"education","lineage":["https://openalex.org/I138659443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed A. Hamza","raw_affiliation_strings":["Widener University,School of Engineering,PA,USA","School of Engineering, Widener University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Widener University,School of Engineering,PA,USA","institution_ids":["https://openalex.org/I138659443"]},{"raw_affiliation_string":"School of Engineering, Widener University, PA, USA","institution_ids":["https://openalex.org/I138659443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086590030","display_name":"Kyle Juretus","orcid":"https://orcid.org/0000-0001-6588-4167"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Juretus","raw_affiliation_strings":["Villanova University,ECE Department,PA,USA","ECE Department, Villanova University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Villanova University,ECE Department,PA,USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"ECE Department, Villanova University, PA, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007661434","display_name":"Moeness G. Amin","orcid":"https://orcid.org/0000-0002-0926-4120"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moeness G. Amin","raw_affiliation_strings":["Villanova University,Center for Advanced Communications,USA","Center for Advanced Communications, Villanova University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Villanova University,Center for Advanced Communications,USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083732517","display_name":"Fauzia Ahmad","orcid":"https://orcid.org/0000-0002-1446-5154"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fauzia Ahmad","raw_affiliation_strings":["Temple University,ECE Department,PA,USA","ECE Department, Temple University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University,ECE Department,PA,USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"ECE Department, Temple University, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0293,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96146059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"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/T11946","display_name":"Antenna Design and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11946","display_name":"Antenna Design and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687900722026825},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6587779521942139},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.599628210067749},{"id":"https://openalex.org/keywords/reconfigurability","display_name":"Reconfigurability","score":0.568675696849823},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.531862199306488},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4706258773803711},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4684695601463318},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4145708382129669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4122588634490967},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4068939685821533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39384710788726807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3505798876285553},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30437636375427246},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1877758800983429},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1574246883392334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14638563990592957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687900722026825},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6587779521942139},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.599628210067749},{"id":"https://openalex.org/C2780149590","wikidata":"https://www.wikidata.org/wiki/Q7302742","display_name":"Reconfigurability","level":2,"score":0.568675696849823},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.531862199306488},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4706258773803711},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4684695601463318},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4145708382129669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4122588634490967},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4068939685821533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39384710788726807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3505798876285553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30437636375427246},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1877758800983429},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1574246883392334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14638563990592957},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1984541135","https://openalex.org/W2003157621","https://openalex.org/W2009480643","https://openalex.org/W2038373830","https://openalex.org/W2094558966","https://openalex.org/W2098174516","https://openalex.org/W2150835235","https://openalex.org/W2161666352","https://openalex.org/W2163605009","https://openalex.org/W2169207653","https://openalex.org/W2293295048","https://openalex.org/W2316642606","https://openalex.org/W2563270628","https://openalex.org/W2762541595","https://openalex.org/W2777236243","https://openalex.org/W2919115771","https://openalex.org/W2963689780","https://openalex.org/W2987180117","https://openalex.org/W3128888383","https://openalex.org/W3165488499","https://openalex.org/W3166491719","https://openalex.org/W4237464835","https://openalex.org/W4290728118","https://openalex.org/W6631190155","https://openalex.org/W6684191040","https://openalex.org/W6729210268","https://openalex.org/W6748911683"],"related_works":["https://openalex.org/W1544665014","https://openalex.org/W2748364266","https://openalex.org/W4243861219","https://openalex.org/W2556374054","https://openalex.org/W2069545207","https://openalex.org/W2092579166","https://openalex.org/W2969723039","https://openalex.org/W1977947048","https://openalex.org/W2914540329","https://openalex.org/W2906337187"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"shown":[4],"to":[5,45],"be":[6,17],"a":[7,46],"powerful":[8],"tool":[9],"in":[10,24],"array":[11,14,82],"processing.":[12],"Sparse":[13],"reconfigurability":[15],"can":[16],"an":[18],"integral":[19],"part":[20],"of":[21,98],"cognitive":[22],"sensing":[23],"dynamic":[25],"radio":[26],"frequency":[27],"(RF)":[28],"environments.":[29],"In":[30,50],"this":[31,51],"respect,":[32],"fast-switching":[33],"that":[34,66],"avoids":[35],"hardware":[36],"complexity,":[37],"insertion":[38],"loss,":[39],"and":[40,77,85],"crosstalk":[41],"distortion":[42],"is":[43],"paramount":[44],"realizable":[47],"perception-action":[48],"cycle.":[49],"paper,":[52],"we":[53],"design":[54],"sparse":[55,81],"arrays":[56],"using":[57,87],"binary":[58,74],"switching":[59,75],"per":[60],"RF":[61],"chain":[62],"for":[63],"optimum":[64],"beamforming":[65],"maximizes":[67],"signal-to-interference-and-noise":[68],"ratio":[69],"(SINR).":[70],"We":[71],"apply":[72],"two":[73],"strategies":[76],"examine":[78],"their":[79],"achievable":[80],"classification":[83],"rates":[84],"SINR":[86],"convolutional":[88],"neural":[89],"networks":[90],"as":[91,93],"well":[92],"the":[94],"less":[95],"complex":[96],"structure":[97],"multilayer":[99],"perceptron.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}