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Cellular automata models have historically been a major approach to studying the information-processing properties of self-replication. Here we explore the feasibility of adopting genetic programming so that, when it is given a fairly arbitrary initial cellular automata configuration, it will automatically generate a set of rules that make the given(More)
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our initial results have produced larger, more rapidly replicating structures than past evolutionary models while requiring only a small fraction of the computational time needed in past(More)
In this paper, a novel receiver architecture with inductor-noise cancellation technique is presented. The proposed receiver employs two separate down-conversion paths driven by I/Q LOs respectively, and the noise of on-chip gate inductor of common-source LNA is cancelled at the baseband output, without additional penalty on power consumption, while the(More)
Although automatic optimization for individual analog/RF modules has been studied for many years, design automation for analog/RF systems that contain a complicated hierarchy of mixed-signal modules is still very challenging as the lack of an efficient way to bridge between different level descriptions in the design hierarchy. In this paper, we applied(More)
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