Mathematicians simplify complex theory behind digital signal processing
Researchers have streamlined decades-old mathematical proofs that underpin how engineers design systems for wireless communications and signal analysis. The simplified approach removes computational bottlenecks, potentially enabling faster optimization of telecommunications networks and data processing systems that serve millions of users daily.
Originaltitel: Revisiting cyclic elements in growth spaces
<p>We revisit the problem of characterizing cyclic elements for the shift operator in a broad class of radial growth spaces of holomorphic functions on the unit disk, focusing on functions of finite Nevanlinna characteristic. We provide results in the range of Dini regular weights, and in the regime of logarithmic integral divergence. Our proofs are largely constructive and allow for substantial simplifications of earlier works that previously relied on the Carleson Corona Theorem, such as the Korenblum-Roberts Theorem, as well as a more recent result of El-Fallah, Kellay and Seip.</p>