1) The document describes a wavelet-based technique for denoising underwater signals affected by wind-driven ambient noise. It uses discrete wavelet transform to decompose the noisy signal into coefficients. 2) Thresholding is then applied to the coefficients, where threshold values are calculated separately for each level of decomposition using universal thresholding. 3) The signal is then reconstructed from the modified coefficients after thresholding to reduce noise. The technique aims to improve the signal-to-noise ratio of underwater signals corrupted by wind noise.