An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
An approximation algorithm to improve capacitance matching in the design of SC filters
Analog Integrated Circuits and Signal Processing
IC Mask Design
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Accurate capacitance matching is essential for switched-capacitor filters implementation because the filter coefficients depend upon the capacitance ratios. The use of identical unit capacitors in parallel to form larger capacitances and careful layout design can provide, in many cases, an accuracy of 0.1%. Unfortunately, this technique can be directly applied only if the filter coefficients are rational numbers. In general, coefficient approximations are required, leading to frequency response errors. In this paper, a new design method, using a genetic algorithm, is proposed to find the optimum capacitance ratio approximations by rational numbers which minimize the total number of unit capacitors for a given acceptable frequency response error, in order to save die area.