Figure 7
From: A novel cost function to estimate parameters of oscillatory biochemical systems
Comparison of the two noise removing methods for an oscillatory biochemical dataset ($[P_t]$ in the Tyson model). Original errors: sum of the squared errors between noisy data and the original data, Approach 1: sum of the squared errors between the original data and the denoised data using the traditional thresholding method, Approach 2: sum of the squared errors between the original data and the denoised data using the proposed noise removing method.