In this letter, a sparse Kronecker-product (SKP) coding scheme is proposed for unsourced multiple access. Specifically, the data of each active user encoded as Kronecker product two component codewords with one being and other forward-error-correction (FEC) coded. At receiver, an iterative decoding algorithm developed, consisting matrix factorization decomposition soft-in soft-out code FEC code...

As an emerging paradigm in scientific machine learning, neural operators aim to learn operators, via networks, that map between infinite-dimensional function spaces. Several have been recently developed. However, all the existing are only designed defined on a single Banach space; i.e., input of operator is function. Here, for first time, we study regression networks multiple-input product We p...

X-ray images of pistachio nuts on conveyor trays for product inspection are considered. The rst step in such a processor is to locate each individual item and place it in a separate le for input to a classiier to determine the quality of each nut. This paper considers new techniques to: detect each item (each nut can be in any orientation, we employ new rotation-invariant lters to locate each i...

Using the combinatorial description of shuffle product, we prove or reformulate several shuffle product formulas of multiple zeta values, including a general formula of the shuffle product of two multiple zeta values, some restricted shuffle product formulas of the product of two multiple zeta values, and a restricted shuffle product formula of the product of n multiple zeta values.

Multiple-view feature modelling can support applications from various phases of product development, by providing an own view on a product for each of these applications. Each view contains a feature model of the product specific for the application. Current approaches to multiple-view feature modelling only deal with form features. Hence, only the later product developments phases, in which th...