Hardware Implementation of the Dual-Channel Spectral Subtraction Method for Lung Sounds Denoising

摘要

In this paper, a hardware architecture of dual-channel spectral subtraction method has been proposed for real-time lung sounds enhancement. The proposed architecture has been implemented on field programmable gate array (FPGA) chip using a high-level programming tool. Dual-channel spectral subtraction technique allows a dynamic estimate of the noise spectrum for an adaptive and robust lung sounds enhancement. The denoising performances of the proposed hardware architecture are compared to those obtained by MATLAB simulation, using subjective and objective evaluation tests. Resource utilization, maximum operating frequency, and total power consumption are presented for a low-cost Artix-7 FPGA chip.