Wavelet shrinkage estimators of Calderón-Zygmund operators with odd kernels
Wavelet shrinkage is a strategy to obtain a nonlinear approximation to a given function \(f\) and is widely used in data compression, signal processing and statistics, etc. The authors construct an estimator of \(T f\), based on the wavelet shrinkage estimator of \(f\) for Calderón-Zygmund operators \(T\). The almost everywhere convergence and norm convergence of the proposed estimators are established.
scientific article; zbMATH DE number 6376254
scientific article