Wildan Panji Tresna, Lathifah Dika Mauludi, Ismudiati Puri Handayani, Dedi Riana, Ali Khumaeni
This study explores the use of Fast Fourier Transform (FFT) for denoising signals from a Localized Surface Plasmon Resonance-based Optical Fiber (LSPR-OF) sensor. By applying FFT, high-frequency noise was effectively suppressed, enhancing measurement precision. An optimal cut-off frequency of 0.01 was identified for balancing noise reduction and signal preservation. Results demonstrated shifts in resonance wavelengths, with varying sensitivity across metals. The findings highlight the potential of FFT filtering to improve the clarity of LSPR spectrum. © 2025 by the (authors list).
Research Center for Photonics, National Research and Innovation Agency (BRIN), KST BJ Habibie Serpong, South Tangerang, 15314, Indonesia; Department of Physics, Universitas Negeri Surabaya, Gayungan, Surabaya, 60231, Indonesia; Department of Engineering Physics, Telkom University, Bandung, 40257, Indonesia; Department of Physics, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang, 65144, Indonesia; Department of Physics, Universitas Diponegoro, Tembalang, Semarang, 50275, Indonesia
