Optimization of smoothing process-the method to improve calibration in voltammetry Part I. Simulated voltammograms

The problem of the optimal choice of algorithmic filter and the evaluation of smoothing effects in voltammetry is studied. The basic idea of the optimization is an investigation of the improvement of the calibration and the recovery functions parameters during denoising process. The evaluation routine yields the answer in numerical form and may be used for the best filter selection. In order to show how the proposed criterion operates, it was applied to the simulated curves which were peak shaped and distorted by noise of different type and amplitude. Results were compared to the other method based on difference between true and denoised signal. The described tool may be applied for the automatic signal processing.