Abstract
This paper presents the results of numerical simulations to mix noise generated with random numbers in response signals to show that the use of the Singular Value Decomposition theorem to calculate a low rank generalized matrix inverse can reduce the influence of noise on synthesized results obtained with a dynamic impedance method. The effectiveness of this approach over the direct method is confirmed . A new procedure is also proposed for determining the applicability of the SVD theorem. An application of the proposed approach is presented to demonstrate its usefulness in analyzing vibration problems in automotive systems.
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