Results 11 to 20 of about 5,137,492 (319)
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting [PDF]
Neural Networks, 2023 In order to enhance the performance of Transformer models for long-term multivariate forecasting while minimizing computational demands, this paper introduces the Joint Time-Frequency Domain Transformer (JTFT).
Yushu Chen +5 more
semanticscholar +1 more source
Multi-Carrier Modulation: An Evolution from Time-Frequency Domain to Delay-Doppler Domain [PDF]
arXiv.org, 2023 The recently proposed orthogonal delay-Doppler division multiplexing (ODDM) modulation, which is based on the new delay-Doppler (DD) domain orthogonal pulse (DDOP), is studied.
Hai-Hsing Lin +4 more
semanticscholar +1 more source
Experimental Implementation of the Optical Fractional Fourier Transform in the Time-Frequency Domain. [PDF]
Physical Review Letters, 2023 The fractional Fourier transform (FrFT), a fundamental operation in physics that corresponds to a rotation of phase space by any angle, is also an indispensable tool employed in digital signal processing for noise reduction. Processing of optical signals
B. Niewelt +6 more
semanticscholar +1 more source
Harmonics Signal Feature Extraction Techniques: A Review
Mathematics, 2023 Harmonic estimation is essential for mitigating or suppressing harmonic distortions in power systems. The most important idea is that spectrum analysis, waveform estimation, harmonic source classification, source location, the determination of harmonic ...
Minh Ly Duc, Petr Bilik, Radek Martinek
doaj +1 more source
DSPGAN: A Gan-Based Universal Vocoder for High-Fidelity TTS by Time-Frequency Domain Supervision from DSP [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Recent development of neural vocoders based on the generative adversarial neural network (GAN) has shown obvious advantages of generating raw waveform conditioned on mel-spectrogram with fast inference speed and lightweight networks. Whereas, it is still
Kun Song +7 more
semanticscholar +1 more source
Time- vs. Frequency-domain Identification of Parametric Radiation Force Models for Marine Structures at Zero Speed [PDF]
Modeling, Identification and Control, 2008 The dynamics describing the motion response of a marine structure in waves can be represented within a linear framework by the Cummins Equation. This equation contains a convolution term that represents the component of the radiation forces associated ...
Tristan Perez, Thor I. Fossen
doaj +1 more source
Optics Express, 2022 We present a photonics topology optimization (TO) package capable of addressing a wide range of practical photonics design problems, incorporating robustness and manufacturing constraints, which can scale to large devices and massive parallelism.
A. Hammond +5 more
semanticscholar +1 more source
Speech Enhancement Based on Time-Frequency Domain GAN [PDF]
Jisuanji kexue, 2022 The traditional speech enhancement algorithm based on generative adversarial networks (SEGAN) enhances speech in the time domain,and completely ignores the distribution of speech samples in frequency domain.Under the condition of low signal-to-noise ...
YIN Wen-bing, GAO Ge, ZENG Bang, WANG Xiao, CHEN Yi
doaj +1 more source
Journal of Dynamics Monitoring and Diagnostics, 2023 Early fault diagnosis of bearings is crucial for ensuring safe and reliable operations. Convolutional Neural Networks (CNNs) have achieved significant breakthroughs in machinery fault diagnosis. However, complex and varying working conditions can lead to
Dandan Peng +3 more
semanticscholar +1 more source
Feature Extraction Methods for Electroretinogram Signal Analysis: A Review
IEEE Access, 2021 Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the signal further and compress the signal for storage or transmission purposes.
Soroor Behbahani +2 more
doaj +1 more source