Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...
Exercise 1. Let $${ n = 1, 2, \dots }$$ be such that $${ f_n \in A(\mathbf{T}) }$$ and $${ ||f_n||_{A(\mathbf{T})} \le 1 }$$. Assume that $${ f_n }$$ converges ...
Abstract: In this paper, we present a relative transfer function (RTF) identification method for speech sources in reverberant environments. The proposed method is based on the convolutive transfer ...
Abstract: Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the fifth-generation new radio (5G NR) waveform developments. However, effective signal processing tools ...
The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...
Our research proves a conjecture from string theory asserting the vanishing of a specific convolution sum arising in the 4-graviton scattering amplitude in 10-dimensional type IIB string theory. The ...
This paper covers the concept of Fourier series and its application for a periodic signal. A periodic signal is a signal that repeats its pattern over time at regular intervals. The idea inspiring is ...
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