High frequency continuous time filters in digital CMOS processes
High frequency continuous time filters in digital CMOS processes
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
High-Level Modeling and Synthesis of Analog Integrated Systems
High-Level Modeling and Synthesis of Analog Integrated Systems
IEEE Transactions on Circuits and Systems II: Express Briefs
Multi-gigabit analog equalizers for plastic opticalfibers
Microelectronics Journal
Predicting nonlinear distortion in multistage amplifiers and gm-C filters
Analog Integrated Circuits and Signal Processing
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This paper presents an automated synthesis procedure for integrated continuous-time fully-differential Gm−C filters. Such procedure builds up on a general extended state-space system representation which provides simple matrix algebra mechanisms to evaluate the noise and distortion performances of filters, as well as, the effect of amplitude and impedance scaling operations. The proposed technique not only addresses the dynamic range optimization under power dissipation constraints, but also accounts for other relevant integrated circuit related features, such as transconductor decomposition in unitary instances, spread of capacitances and estimated area occupation, among other characteristics. The proposed approach, implemented in the MATLAB® framework, can be also used as an exploratory tool to compare different circuit implementations for a given set of filter specifications. Copyright © 2010 John Wiley & Sons, Ltd.