Continuous Wavelets for Pre-processing and Analysis of Cough Signals

Abstract

Cough sound signals are the common symptom of all type of diseases. At the time of acquisition of cough sound signals with the help of a microphone, signals get contaminated with noise presented in the surroundings. This is a hard task to remove the noise from the acquired cough sound signals. So, an automated analysis of cough sound signals is derived in the diagnosis of respiratory diseases. In this paper, a hard thresholding technique combines with continuous wavelet transform (CWT) for denoising of acquired cough sound signals. This gives an enhanced result of signal-to-noise ratio (SNR) of the denoised cough sound signals.