{"id":"https://openalex.org/W2943567505","doi":"https://doi.org/10.1142/s0219691319500310","title":"Modified meta-heuristic-oriented compressed sensing reconstruction algorithm for bio-signals","display_name":"Modified meta-heuristic-oriented compressed sensing reconstruction algorithm for bio-signals","publication_year":2019,"publication_date":"2019-03-25","ids":{"openalex":"https://openalex.org/W2943567505","doi":"https://doi.org/10.1142/s0219691319500310","mag":"2943567505"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691319500310","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691319500310","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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/A5037027293","display_name":"Ashok Naganath Shinde","orcid":null},"institutions":[{"id":"https://openalex.org/I132157868","display_name":"Dr. Babasaheb Ambedkar Technological University","ror":"https://ror.org/05tc4vc39","country_code":"IN","type":"education","lineage":["https://openalex.org/I132157868"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashok Naganath Shinde","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India","institution_ids":["https://openalex.org/I132157868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110611694","display_name":"Sanjay L. Lalbalwar","orcid":null},"institutions":[{"id":"https://openalex.org/I132157868","display_name":"Dr. Babasaheb Ambedkar Technological University","ror":"https://ror.org/05tc4vc39","country_code":"IN","type":"education","lineage":["https://openalex.org/I132157868"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjay L. Lalbalwar","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India","institution_ids":["https://openalex.org/I132157868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110608866","display_name":"Anil Nandgaonkar","orcid":"https://orcid.org/0000-0002-3612-502X"},"institutions":[{"id":"https://openalex.org/I132157868","display_name":"Dr. Babasaheb Ambedkar Technological University","ror":"https://ror.org/05tc4vc39","country_code":"IN","type":"education","lineage":["https://openalex.org/I132157868"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil B. Nandgaonkar","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University Lonere, Raigad (MH) \u2013 402103, India","institution_ids":["https://openalex.org/I132157868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9711,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72639701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"17","issue":"05","first_page":"1950031","last_page":"1950031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976000189781189,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.8331116437911987},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6678903698921204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6218152046203613},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6190410852432251},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.6135879755020142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6110601425170898},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5167690515518188},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.44862276315689087},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.42178812623023987},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.4135604202747345},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.40521013736724854},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3998837471008301},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.36224275827407837},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.2757951617240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25732868909835815},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.23471161723136902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1383194923400879},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12984684109687805}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8331116437911987},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6678903698921204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218152046203613},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6190410852432251},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.6135879755020142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6110601425170898},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5167690515518188},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.44862276315689087},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.42178812623023987},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.4135604202747345},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.40521013736724854},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3998837471008301},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36224275827407837},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2757951617240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25732868909835815},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.23471161723136902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1383194923400879},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12984684109687805},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691319500310","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691319500310","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1786686177","https://openalex.org/W1967749695","https://openalex.org/W1967886702","https://openalex.org/W1973997930","https://openalex.org/W1976272929","https://openalex.org/W1984769758","https://openalex.org/W2011196617","https://openalex.org/W2031614119","https://openalex.org/W2048618474","https://openalex.org/W2061438946","https://openalex.org/W2071781488","https://openalex.org/W2079860279","https://openalex.org/W2087166809","https://openalex.org/W2094938347","https://openalex.org/W2104266187","https://openalex.org/W2144990628","https://openalex.org/W2156442886","https://openalex.org/W2157483814","https://openalex.org/W2183728861","https://openalex.org/W2285246854","https://openalex.org/W2287095410","https://openalex.org/W2290701356","https://openalex.org/W2296269654","https://openalex.org/W2306115793","https://openalex.org/W2312664436","https://openalex.org/W2510946528","https://openalex.org/W2512978410","https://openalex.org/W2514657074","https://openalex.org/W2554019466","https://openalex.org/W2581065164","https://openalex.org/W2598489095","https://openalex.org/W2599124244","https://openalex.org/W2735512299","https://openalex.org/W2743439106","https://openalex.org/W2752270444","https://openalex.org/W2767372095","https://openalex.org/W2772344914","https://openalex.org/W2772738092","https://openalex.org/W2791891942","https://openalex.org/W2806594514","https://openalex.org/W2891656133","https://openalex.org/W4235729966"],"related_works":["https://openalex.org/W2393783098","https://openalex.org/W2379468505","https://openalex.org/W2071548530","https://openalex.org/W2354835911","https://openalex.org/W2384296499","https://openalex.org/W1991724591","https://openalex.org/W1985475042","https://openalex.org/W2258469028","https://openalex.org/W2493830717","https://openalex.org/W2943567505"],"abstract_inverted_index":{"In":[0,26,157,182],"signal":[1,74,102,131,139,152,155,173],"processing,":[2],"several":[3],"applications":[4],"necessitate":[5],"the":[6,15,24,37,50,73,78,84,91,94,97,100,112,130,138,159,186,195,204,207,212,216,243,246,252],"efficient":[7],"reprocessing":[8],"and":[9,154,180,269],"representation":[10],"of":[11,52,59,72,93,99,116,148,176,206,222,245],"data.":[12,134],"Compression":[13],"is":[14,19,43,48,55,75,226,249],"standard":[16],"approach":[17],"that":[18,47,167],"used":[20],"for":[21,34,68,128],"effectively":[22],"representing":[23],"signal.":[25],"modern":[27],"era,":[28],"many":[29],"new":[30,124,164,231],"techniques":[31],"are":[32,172],"developed":[33],"compression":[35,153,160],"at":[36,80],"sensing":[38,41,126],"level.":[39],"Compressed":[40],"(CS)":[42,268],"a":[44,56,60,81,123,163,230],"rising":[45],"domain":[46],"on":[49,90],"basis":[51],"disclosure,":[53],"which":[54],"little":[57],"gathering":[58],"sparse":[61],"signal\u2019s":[62],"linear":[63],"projections":[64],"including":[65],"adequate":[66],"information":[67],"reconstruction.":[69,156],"The":[70,219],"sampling":[71,86],"permitted":[76],"by":[77,143,210],"CS":[79],"rate":[82,87],"underneath":[83],"Nyquist":[85],"while":[88],"relying":[89],"sparsity":[92],"signals.":[95],"Additionally,":[96],"reconstruction":[98,114],"original":[101],"from":[103],"some":[104],"compressive":[105,125],"measurements":[106],"can":[107,140],"be":[108,141],"authentically":[109],"exploited":[110],"using":[111,229],"varied":[113],"algorithms":[115],"CS.":[117],"This":[118],"paper":[119,193,202],"intends":[120],"to":[121,184],"exploit":[122],"algorithm":[127,233],"reconstructing":[129],"in":[132],"bio-medical":[133],"For":[135],"this":[136,192,201],"purpose,":[137],"compressed":[142],"undergoing":[144],"three":[145,169],"stages:":[146],"designing":[147],"stable":[149],"measurement":[150],"matrix,":[151],"this,":[158],"stage":[161],"includes":[162],"working":[165],"model":[166,248],"precedes":[168],"operations.":[170],"They":[171],"transformation,":[174],"evaluation":[175,217],"[Formula:":[177],"see":[178,189],"text]":[179],"normalization.":[181],"order":[183],"evaluate":[185],"theta":[187],"([Formula:":[188],"text])":[190],"value,":[191],"uses":[194],"Haar":[196,223],"wavelet":[197,224],"matrix":[198],"function.":[199],"Further,":[200],"ensures":[203],"betterment":[205],"proposed":[208,247],"work":[209],"influencing":[211],"optimization":[213,232],"concept":[214],"with":[215],"procedure.":[218],"vector":[220],"coefficient":[221],"function":[225],"optimally":[227],"selected":[228],"called":[234],"Average":[235],"Fitness-based":[236],"Glowworm":[237,270],"Swarm":[238,261,271],"Optimization":[239,262,272],"(AF-GSO)":[240],"algorithm.":[241],"Finally,":[242],"performance":[244],"compared":[250],"over":[251],"traditional":[253],"methods":[254],"like":[255],"Grey":[256],"Wolf":[257],"Optimizer":[258],"(GWO),":[259],"Particle":[260],"(PSO),":[263],"Firefly":[264],"(FF),":[265],"Crow":[266],"Search":[267],"(GSO)":[273],"algorithms.":[274]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}