The technique of covolutional gridding (CG) has been widely used in applications with non-uniform (Fourier) data such as magnetic resonance imaging (MRI). On the other hand, its error analysis is not fully understood. We consider it as a Fourier frame approximation and present an error analysis accordingly. Moreover, we propose a generalized convolutional gridding (GCG) method as an improved frame approximation.