Soft thresholding by noise invalidation

A new thresholding technique for data denoising is proposed. Using statistical properties of additive noise, this method provides an adaptive data dependent soft threshold to remove the effects of noise. The observed data can be denoised in any orthogonal basis. The simulations demonstrate the advantages of the new approach for data denoising with wavelet transformation.