Abstract
dc:descriptionAmplifier 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.
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Electrical & Computer Engr
- Grantor
- University of Illinois Urbana-Champaign
- Year dc:date
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Ye
- Contributors dc:contributor
-
- Hanumolu, Pavan Kumar
Subjects
dc:subject × 7Rights
dc:rights- Statement dc:rights
-
- Copyright 2025 Ye Li
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/129644