Sparse approximation based on wavelet kernel support vector machines
Dongkai Yang, Yubing Tong, Qi-Shan Zhang · 2005
For enhancing the sparse property of wavelet approximation, a new algorithm was proposed by using wavelet kernel support vector machines, which can converge to minimum error with better sparsity. The results obtained by our simulation experiment show the feasibility and validity of wavelet kernel support vector machines.