A signal denoising system for CCD spectrometer based on FPGA

Kang Zeng; Yanling Li; Yizhu Xiong

doi:10.1117/12.3012096

21 December 2023 A signal denoising system for CCD spectrometer based on FPGA

Kang Zeng, Yanling Li, Yizhu Xiong

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701V (2023) https://doi.org/10.1117/12.3012096
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Charge-coupled device (CCD) spectrometers are commonly used for qualitative and quantitative analysis of substances. In order to reduce the influence of spectral signal noise on qualitative and quantitative analysis of substances, a hardware architecture of multilayer wavelet threshold denoising algorithm based on FPGA is designed. The folded multi-level architecture is adopted to realize the flexible selection of wavelet lifting scheme and wavelet decomposition layer number. In addition, the threshold processing hardware structure and wavelet decomposition structure are optimized. Experiments show that the proposed hardware architecture can realize the denoising of spectrum signals, and the hardware architecture is superior to the existing architecture in the utilization of DSP resources.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kang Zeng, Yanling Li, and Yizhu Xiong "A signal denoising system for CCD spectrometer based on FPGA", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701V (21 December 2023); https://doi.org/10.1117/12.3012096

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KEYWORDS

Wavelets

Denoising

Charge-coupled devices

Discrete wavelet transforms

Spectroscopy

Field programmable gate arrays

Signal to noise ratio

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