Abstract: Convolution processing plays a pivotal role in convolutional neural networks (CNNs), which are widely utilized in image recognition, signal processing, and other applications that demand ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...

%% Question 3: construct a single bar (box function) input pattern (u), convolves it with a center surround impulse response (h), & plots the result (y) (alongside u for reference): % construct a box ...

1 School of Electronics and Information Engineering, Nanchang Normal College of Applied Technology, Nanchang, China 2 School of Mathematics and Information Sciences, Nanchang Hangkong University, ...

Abstract: A proposed hardware structure for convolution computing with application in image processing is described in this paper. The solution is based on using parallel processing in the computing ...

🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.

ABSTRACT: We deal with the Fourier-like analysis of functions on discrete grids in two-dimensional simplexes using C- and E-Weyl group orbit functions. For these cases, we present the convolution ...