Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...

Abstract: Convolutional neural networks are frequently used for super-resolution reconstruction of a single image. Existing methods require a large number of network parameters and significant runtime ...

benchLANG is a reproducible cross-language runtime benchmark comparing 18 languages across prime sieve, recursive Fibonacci, string lookup, Mandelbrot, and binary tree workloads using pinned Nix ...