Gaussian Filtering in One Dimension

Gaussian filtering in one, two, or three dimensions constitutes a fundamental operation in signal and image processing. Time-domain finite impulse response (FIR) filters using Gaussian masks can be implemented efficiently in both floating-point and fixed-point arithmetic due to the strictly positive and bounded nature of Gaussian kernels.