2024/07/18 by Flavio Dalossa Freire, Freire, Flavio Dalossa, Isabel Gebauer Soares +1
Computer Science · Engineering · #65T50 #Advanced Electrical Measurement Techniques #FOS: Mathematics #G.1.2 #Numerical Analysis (math.NA) #Sensor Technology and Measurement Systems #Ultrasonics and Acoustic Wave Propagation
paper · pdf · doi:10.48550/arxiv.2407.13414
openalex publication_date 2024/07/18 · openalex created_date 2024/09/09 · openalex updated_date 2026/07/28
In this work, we propose an algorithm for a filter based on the Fast Fourier Transform (FFT), which, due to its characteristics, allows for an efficient computational implementation, ease of use, and minimizes amplitude variation in the filtered signal. The algorithm was implemented using the programming languages Python, R, and MATLAB. Initial results led to the conclusion that there was less amplitude loss in the filtered signal compared to the FIR filter. Future work may address a more rigorous methodology and comparative assessment of computational cost.