{"id":"https://openalex.org/W2106526558","doi":"https://doi.org/10.1109/asap.2008.4580172","title":"Concurrent systolic architecture for high-throughput implementation of 3-dimensional discrete wavelet transform","display_name":"Concurrent systolic architecture for high-throughput implementation of 3-dimensional discrete wavelet transform","publication_year":2008,"publication_date":"2008-07-01","ids":{"openalex":"https://openalex.org/W2106526558","doi":"https://doi.org/10.1109/asap.2008.4580172","mag":"2106526558"},"language":"en","primary_location":{"id":"doi:10.1109/asap.2008.4580172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap.2008.4580172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Application-Specific Systems, Architectures and Processors","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/A5019078090","display_name":"Basant Kumar Mohanty","orcid":"https://orcid.org/0000-0002-1542-1575"},"institutions":[{"id":"https://openalex.org/I25205351","display_name":"Jaypee University of Engineering and Technology","ror":"https://ror.org/040jmyh64","country_code":"IN","type":"education","lineage":["https://openalex.org/I25205351"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Basant K. Mohanty","raw_affiliation_strings":["Department of Electronics & Communication Engineering, Jaypee Institute of Engineering and Technology, Guna, India","Dept. of Electron. &Commun. Eng., Jaypee Inst. of Eng. & Technol., Guna"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Jaypee Institute of Engineering and Technology, Guna, India","institution_ids":["https://openalex.org/I25205351"]},{"raw_affiliation_string":"Dept. of Electron. &Commun. Eng., Jaypee Inst. of Eng. & Technol., Guna","institution_ids":["https://openalex.org/I25205351"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025809855","display_name":"Pramod Kumar Meher","orcid":"https://orcid.org/0000-0003-0992-1159"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Pramod K. Meher","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019078090"],"corresponding_institution_ids":["https://openalex.org/I25205351"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11891551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9948999881744385,"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/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.7580206394195557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958498954772949},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6797542572021484},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6722493171691895},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6460307240486145},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.6147380471229553},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5704381465911865},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5674139857292175},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5253909230232239},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.47420671582221985},{"id":"https://openalex.org/keywords/systolic-array","display_name":"Systolic array","score":0.45087406039237976},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4372588098049164},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41792672872543335},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4078015685081482},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40369176864624023},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.37294358015060425},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3505212664604187},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.312982439994812},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22150489687919617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13886764645576477},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06557008624076843}],"concepts":[{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.7580206394195557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958498954772949},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6797542572021484},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6722493171691895},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6460307240486145},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.6147380471229553},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5704381465911865},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5674139857292175},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5253909230232239},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.47420671582221985},{"id":"https://openalex.org/C150741067","wikidata":"https://www.wikidata.org/wiki/Q2377218","display_name":"Systolic array","level":3,"score":0.45087406039237976},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4372588098049164},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41792672872543335},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4078015685081482},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40369176864624023},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.37294358015060425},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3505212664604187},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.312982439994812},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22150489687919617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13886764645576477},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06557008624076843},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asap.2008.4580172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap.2008.4580172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Application-Specific Systems, Architectures and Processors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1562389585","https://openalex.org/W1967343121","https://openalex.org/W2000489837","https://openalex.org/W2070174169","https://openalex.org/W2095108105","https://openalex.org/W2139441295"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W1588899229","https://openalex.org/W2386482837","https://openalex.org/W2534725092","https://openalex.org/W2218546657","https://openalex.org/W2371385084","https://openalex.org/W1976022598","https://openalex.org/W2151567244","https://openalex.org/W2358033533","https://openalex.org/W2363135310"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,34,104],"novel":[6],"systolic":[7],"architecture":[8],"for":[9,46,74],"high-throughput":[10],"computation":[11,23,112],"of":[12,37,64],"3-dimensional":[13],"(3-D)":[14],"discrete":[15],"wavelet":[16],"transform":[17],"(DWT).":[18],"The":[19,43,100],"entire":[20],"3-D":[21,47,110],"DWT":[22,48,98,111],"is":[24],"decomposed":[25],"into":[26],"three":[27],"distinct":[28],"stages":[29],"and":[30,56,66,68,107],"implemented":[31],"concurrently":[32],"in":[33],"linear":[35],"array":[36],"fully":[38],"pipelined":[39],"processing":[40],"elements":[41],"(PE).":[42],"proposed":[44,84,101],"structure":[45,102],"provides":[49],"higher":[50],"throughput":[51,76],"than":[52,78],"the":[53,62,79,83,93],"existing":[54],"architecture;":[55],"involves":[57],"nearly":[58],"half":[59],"or":[60],"less":[61,69],"number":[63],"multipliers":[65],"adders;":[67],"on-chip":[70],"memory":[71],"(when":[72],"normalized":[73],"unit":[75],"rate)":[77],"other.":[80],"Most":[81],"importantly,":[82],"one":[85],"does":[86],"not":[87],"require":[88],"any":[89],"frame":[90],"buffer":[91],"unlike":[92],"other":[94],"to":[95],"perform":[96,109],"inter-frame":[97],"computation.":[99],"has":[103],"small":[105],"latency":[106],"can":[108],"with":[113],"100%":[114],"hardware":[115],"unitization":[116],"efficiency.":[117]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}