J
Jaijeet Roychowdhury
Researcher at University of California, Berkeley
Publications - 171
Citations - 5830
Jaijeet Roychowdhury is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Nonlinear system & Injection locking. The author has an hindex of 36, co-authored 166 publications receiving 5558 citations. Previous affiliations of Jaijeet Roychowdhury include University of Minnesota & University of California.
Papers
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Phase noise in oscillators: a unifying theory and numerical methods for characterization
TL;DR: In this paper, the authors developed a solid foundation for phase noise that is valid for any oscillator, regardless of operating mechanism, and established novel results about the dynamics of stable nonlinear oscillators in the presence of perturbations, both deterministic and random.
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Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs
TL;DR: The paper describes the recent state of the art in hierarchical analog synthesis, with a strong emphasis on associated techniques for computer-aided model generation and optimization, and surveys recent advances in analog design tools that specifically deal with the hierarchical nature of practical analog and RF systems.
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Analyzing circuits with widely separated time scales using numerical PDE methods
TL;DR: In this article, the authors present a mathematical formulation and numerical methods for analyzing a broad class of such circuits or systems, where the key idea is to use multiple time variables, which enable signals with widely separated rates of variation to be represented efficiently.
Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs Small models, that represent the overall functioning of portions of large or complex circuits, can be generated by algorithms and used for system design and verification.
TL;DR: A detailed survey of algorithmic techniques for automatically extracting a suitable nonlinear macromodel from a device-level circuit can be found in this paper, with a focus on numerical techniques for handling the large number of degrees of freedom in these designs.
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Reduced-order modeling of time-varying systems
TL;DR: A key feature of this method is that it is capable of reducing time-varying linear systems, which enables it to capture frequency-translation and sampling behavior, important in communication subsystems such as mixers and switched-capacitor filters.