A truncated Legendre spectral method for solving numerical differentiation

A numerical differentiation problem for a given function with noisy data is discussed in this paper. A truncated spectral method has been introduced to deal with the ill-posedness of the problem. The theoretical analysis shows that the smoother the genuine solution, the higher the convergence rate of the numerical solution by our method. Numerical examples are also given to show the efficiency of the method.