Abstract: In this paper, we propose a novel graph signal processing convolution recurrent network (GSP CRN) for signal enhancement against high suppressive interference (HSI) in wireless ...

\item Digital Signal Processing: System Analysis and Design by Paulo S. R. Diniz, Eduardo A. B. da Silva, and Sergio L. Netto ...

The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their ...

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

Abstract: Set functions are functions (or signals) indexed by the powerset (set of all subsets) of a finite set N. They are fundamental and ubiquitous in many application domains and have been used, ...

5.3 Filter application in the time domain 77 5.4 Filter application in the frequency domain 78 5.8 Calculating a power spectral density using MATLAB/Octave and Python/SciPy functions 85 5.9 Code for ...