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Digital filters based on fourier transforms for application in electrochemistry [Filtros digitais por transformadas de fourier aplicados em eletroquímica]

机译:基于傅里叶变换的数字滤波器在电化学中的应用[基于傅里叶变换的数字滤波器在电化学中的应用

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The electrochemical properties of micro and nano-electrodes are widely investigated due to their low faradaic and capacitive currents, leading to a new generation of smart and implantable devices. However, the current signals obtained in low-dimensional devices are strongly influenced by noise sources. In this paper, we show the evaluation of filters based on Fast Fourier Transform (FFT) and their implementation in a graphical user interface (GUI) in MATLAB?. As a case study, we evaluated an electrochemical reaction process of charge transfer via outer-sphere. Results showed successful removal of most of the noise in signals, thus proving a promising tool for low-scale measurement.
机译:由于微电极和法拉第电流和电容电流低,因此广泛研究了微电极和纳米电极的电化学性质,从而导致了新一代智能和可植入设备的出现。但是,在低维器件中获得的电流信号会受到噪声源的强烈影响。在本文中,我们展示了基于快速傅立叶变换(FFT)的滤波器的评估及其在MATLAB?中的图形用户界面(GUI)中的实现。作为案例研究,我们评估了通过外球进行电荷转移的电化学反应过程。结果表明,成功去除了信号中的大多数噪声,从而证明了一种用于小规模测量的有前途的工具。

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