{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129644"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129644","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Methodology of amplifier design","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_has_math":false,"creators":["Li, Ye"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Hanumolu, Pavan Kumar"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-05-09","date_published":"2025-05-09","updated_at":"2026-07-22T22:25:05Z","subjects":["Methodology","Amplifier","Python","Matlab","Auto-design","Cadence","Verification."],"languages":["en","eng"],"rights":["Copyright 2025 Ye Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129644","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hanumolu, Pavan Kumar"]},{"key":"dc:creator","label":"Author","values":["Li, Ye"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-05-09","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Methodology","Amplifier","Python","Matlab","Auto-design","Cadence","Verification."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Ye Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129644"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Ye Li, accepted the attached license on 2025-05-08 at 16:34.","The student, Ye Li, submitted this Thesis for approval on 2025-05-08 at 16:43.","This Thesis was approved for publication on 2025-05-09 at 16:06.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22273 on 2025-10-19 at 19:17:16","Amplifier design frequently involves reusing familiar design models and basic structures. To streamline this process and improve design precision, a Python-based amplifier system was developed in this project. The system generates amplifier parameters based on user-defined input specifications, utilizing a database of amplifier properties initially constructed in MATLAB to efficiently select appropriate design candidates. After obtaining results from the Python system, each design’s performance was validated through Cadence simulations. Using this methodology, several amplifier types were successfully designed, including the common-source amplifier, 5-transistor operational transconductance amplifier (OTA), telescopic OTA, gain-boosted OTA, NMOS and PMOS folded-cascode amplifiers, and low-dropout (LDO) regulators. For each design, worst-case operating scenarios were carefully considered prior to finalization. A design was only saved into the system database if it met all specified performance requirements in both Python-based prediction and Cadence verification. This Python-based design tool significantly accelerated the amplifier development process and enabled more consistent and accurate outcomes across different architectures. Future work will focus on expanding the database and improving system efficiency, with the long-term goal of developing a comprehensive \"Amplifier GPT\" platform capable of autonomously generating a wide variety of high-quality amplifier designs."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Methodology of amplifier design"]}]}],"canonical_facts":{"dc:contributor":["Hanumolu, Pavan Kumar"],"dc:creator":["Li, Ye"],"dc:date":["2025-05-09","2025-05"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Ye Li, accepted the attached license on 2025-05-08 at 16:34.","The student, Ye Li, submitted this Thesis for approval on 2025-05-08 at 16:43.","This Thesis was approved for publication on 2025-05-09 at 16:06.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22273 on 2025-10-19 at 19:17:16","Amplifier design frequently involves reusing familiar design models and basic structures. To streamline this process and improve design precision, a Python-based amplifier system was developed in this project. The system generates amplifier parameters based on user-defined input specifications, utilizing a database of amplifier properties initially constructed in MATLAB to efficiently select appropriate design candidates. After obtaining results from the Python system, each design’s performance was validated through Cadence simulations. Using this methodology, several amplifier types were successfully designed, including the common-source amplifier, 5-transistor operational transconductance amplifier (OTA), telescopic OTA, gain-boosted OTA, NMOS and PMOS folded-cascode amplifiers, and low-dropout (LDO) regulators. For each design, worst-case operating scenarios were carefully considered prior to finalization. A design was only saved into the system database if it met all specified performance requirements in both Python-based prediction and Cadence verification. This Python-based design tool significantly accelerated the amplifier development process and enabled more consistent and accurate outcomes across different architectures. Future work will focus on expanding the database and improving system efficiency, with the long-term goal of developing a comprehensive \"Amplifier GPT\" platform capable of autonomously generating a wide variety of high-quality amplifier designs."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129644"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Ye Li"],"dc:subject":["Methodology","Amplifier","Python","Matlab","Auto-design","Cadence","Verification."],"dc:title":["Methodology of amplifier design"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:05Z"}