This paper shows that particular classes of linear combinations of the coefficients of the circular Chrestenson-Vilenkin spectrum of ternary functions characterize whether cofacto...
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
—The problem of variable sample rate conversion (SRC) has received much attention on account of its applications in software defined radios (SDRs) that must support a wide varie...
Abstract. In this paper, the approximation properties of the prolate spheroidal wave functions of order zero (PSWFs) are studied, and a set of optimal error estimates are derived f...
Abstract— During the last years, high throughput experiments have become very popular. During the analysis of such data the need for a functional grouping of genes arises. In thi...