Design of Sigma–Delta Modulators With Arbitrary Transfer Functions
作者： Yongtao Wang , Khurram Muhammad , Kaushik Roy
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摘要: This paper addresses the design of sigma-delta modulators with arbitrary signal and noise transfer functions using a genetic algorithm (GA)-based search method. The objective function is defined to include difference D between magnitude frequency responses designed ideal one, quantizer gain lambdacritical for which poles modulator start moving out unit circle, spread coefficients S. Stability can be improved by reducing while smaller S reduces implementation complexity. A GA searches poles/zeros minimize D+w1*lambdacritical+w2*S, where w1 w2 are two weighing factors. Numerical results demonstrate effectiveness proposed method
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