Abstract: A fast linear convolution algorithm based on the Discrete Hirschman Transform (DHT) has been developed recently. It performs better than the traditional convolution based on the Discrete ...

This is a preview. Log in through your library . Abstract The semi-discrete convolution with the box spline is an important tool in approximation theory. We give a formula for the difference between ...

Abstract: In Digital Image Processing, the discrete linear convolution is used as a basis for linear filtering. In this paper, the multiplier operation involved in discrete linear convolution ...

An optical convolution method is described and used to demonstrate a new periodicity in paramyosin filaments isolated from molluscan smooth muscle. You have full access to this article via your ...

Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and width (number of ...

Consider a discrete group G and a bounded self-adjoint convolution operator T on l2 (G); let σ (T) be the spectrum of T. The spectral theorem gives a unitary isomorphism U between l2 (G) and a direct ...

This tutorial introduces you to a compute-intensive application that is accelerated using the AMD Alveo™ Data Center accelerator card. It goes through the design of a specific kernel that runs on the ...