Aziznejad, ShayanNaderi, AlirezaUnser, Michael2020-08-272020-08-272020-08-272019-01-0110.1109/SampTA45681.2019.9030990https://infoscience.epfl.ch/handle/20.500.14299/171147WOS:000558176800106The goal of derivative sampling is to reconstruct a signal from the samples of the function and of its first-order derivative. In this paper, we consider this problem over a shift-invariant reconstruction subspace generated by two compact-support functions. We assume that the reconstruction subspace reproduces polynomials up to a certain degree. We then derive a lower bound on the sum of supports of its generators. Finally, we illustrate the tightness of our bound with some examples.shift-invariant spacessignaltheoremOptimal Spline Generators for Derivative Samplingtext::conference output::conference proceedings::conference paper