An application of the learning theory to wavelet based signal denoising
Miloš S. Stanković, S. Stankovic · 2005
In this paper the statistical learning theory is applied to signal denoising using wavelets. The methodology is based on the estimation of the functional relationship between the Vapnik-Chervonenkis (VC) dimension and approximation complexity. Experimental results confirm the basic assumptions.