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Frequency domain analysis and synthesis of lumped parameter systems using nonlinear least squares techniques

Abstract

Lumped parametric system models are simplified and computationally advantageous in the frequency domain of linear systems. Nonlinear least squares computer program finds the least square best estimate for any number of parameters in an arbitrarily complicated model

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