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This paper provides a study into the impact of weight factors selection in a multi-objective geometric programming (MOGP) optimization. Typically, when solving a multi-objective design problem, a designer would arbitrarily assign weight factors based on his/her perception of each objective's significance, e.g. assigning higher weights to the more important objectives. Here, an alternative method is...
This paper considers an optimization of weight factors in a multi-objective circuit design problem. The procedure is based on formulating the problem as a multi-objective geometric program (MOGP). Generally, solving the problem via GP requires multiple objectives be combined into a scalar objective by weighing the individual objectives with arbitrary, fixed weight factors. On the contrary, this paper...
This paper proposes a design methodology for solving a multi-objective circuit design problem, which is based on formulating the problem as a multi-objective geometric program (MOGP) with variable weight factors. In general, to solve the problem using GP, multiple objectives are combined into a scalar objective by assigning arbitrary, fixed weight factors to individual objectives. On the contrary,...
This paper describes a low-voltage, low-power CMOS RF front-end for wireless sensor networks (WSNs) implementation in the 2.45-GHz band based on IEEE 802.15.4 standard. The design targets a low-IF receiver architecture and consists of a low-noise amplifier and a quadrature mixer that downconverts an RF input at the 2.45-GHz band to an IF at 2 MHz. To promote low cost and low-voltage operation, all...
This paper concerns an approach for solving multi-objective analog circuit design problems, which is based on formulating the problem as a geometric program (GP). Multiple objectives are combined into a scalar objective thru certain convex functions and thus can be solved using GP. In contrast to single-objective optimization, simultaneous consideration of all objectives yields a compromising solution...
This paper presents a systematic approach for gaining design insights in a variety of analog design problems. Unlike designers* intuition, this method provides both quantitative and qualitative insights. The method relies on formulating a design problem as a geometric program (GP). These nonlinear, constrained optimization problem can be transformed to convex optimization problems, and then solved...
Low-voltage transconductor circuits suitable for Gm-C filter are proposed. The proposed structures were developed from a well-known Nauta's inverter-type class-AB transconductor to improve common-mode rejection without sacrificing extra power consumption. The improvement relies on feed-forwarding both common-mode and differential mode signals, making it power efficient because additionally power has...
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