Sampling approximation of smooth functions via generalized coiflets

An analysis was presented to evaluate the accuracy of generalized coiflet-based sampling approximation of smooth functions by developing the convergence rates for local approximation error. The method used was computational analysis of data. Results revealed that generalized coiflets can achieve asymptotically better approximation than conventional coiflets and approximation of expansion coefficients by function samples is asymptotically negligible.