An Improved IMCRA Algorithm for Sleep Signal Denoising

In sleep environment, respiratory signals are inevitably affected by ambient noise. In order to improve the noise estimation ability of noise spectrum estimation algorithm, an improved IMCRA non-stationary noise estimation algorithm is proposed. The algorithm uses the 3 spectral smoothing method to estimate the probability of respiratory signals and control the length of segments. In the case of noise overestimation or underestimation, a safety mechanism is introduced to limit or compensate for the noise estimate. Experimental results show that compared with IMCRA algorithm, the improved algorithm improves the noise estimation ability. At the same time, the intelligibility and sharpness of speech signals are improved, which can be applied to de-noising sleep signals better.