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Background: Windowed Fourier decompositions (WFD) are widely used in measuring stationary and non-stationary spectral phenomena and in describing pairwise relationships among multiple signals. Although a variety of WFDs see frequent…

Quantitative Methods · Quantitative Biology 2019-01-30 Christopher K. Kovach , Phillip E. Gander

In this work, we propose a novel consistency-preserving loss function for recovering the phase information in the context of phase reconstruction (PR) and speech enhancement (SE). Different from conventional techniques that directly…

Audio and Speech Processing · Electrical Eng. & Systems 2024-09-25 Pin-Jui Ku , Chun-Wei Ho , Hao Yen , Sabato Marco Siniscalchi , Chin-Hui Lee

In order to improve the data hiding in all types of multimedia data formats such as image and audio and to make hidden message imperceptible, a novel method for steganography is introduced in this paper. It is based on Least Significant Bit…

Multimedia · Computer Science 2015-06-17 Ankit Chadha , Neha Satam

The focus of this article is on shape and topology optimization of transient vibroacoustic problems. The main contribution is a transient problem formulation that enables optimization over wide ranges of frequencies with complex signals,…

Optimization and Control · Mathematics 2023-06-28 Cetin B. Dilgen , Niels Aage

A method for ECG compression, by imaging the record as a 2D array and implementing a transform lossy compression strategy, is advanced. The particularity of the proposed transformation consists in applying a Discrete Wavelet Transform along…

Signal Processing · Electrical Eng. & Systems 2019-08-12 Johan Chagnon , Laura Rebollo-Neira

Bragg diffraction has been used in atom interferometers because it allows signal enhancement through multiphoton momentum transfer and suppression of systematics by not changing the internal state of atoms. Its multi-port nature, however,…

Atomic Physics · Physics 2016-11-21 Richard H Parker , Chenghui Yu , Brian Estey , Weicheng Zhong , Eric Huang , Holger Müller

Recent advances in remote heart rate measurement, motivated by data-driven approaches, have notably enhanced accuracy. However, these improvements primarily focus on recovering the rPPG signal, overlooking the implicit challenges of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Joaquim Comas , Adria Ruiz , Federico Sukno

The electrocardiogram (ECG) follows a characteristic shape, which has led to the development of several mathematical models for extracting clinically important information. Our main objective is to resolve limitations of previous…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Carl Böck , Péter Kovács , Pablo Laguna , Jens Meier , Mario Huemer

Electroencephalogram (EEG) classification has been widely used in various medical and engineering applications, where it is important for understanding brain function, diagnosing diseases, and assessing mental health conditions. However,…

Signal Processing · Electrical Eng. & Systems 2024-08-20 Mingzhi Chen , Yiyu Gui , Yuqi Su , Yuesheng Zhu , Guibo Luo , Yuchao Yang

We investigate Gabor frames on locally compact abelian groups with time-frequency shifts along non-separable, closed subgroups of the phase space. Density theorems in Gabor analysis state necessary conditions for a Gabor system to be a…

Functional Analysis · Mathematics 2015-04-22 Mads Sielemann Jakobsen , Jakob Lemvig

Pseudospectral time domain (PSTD) methods are widely used in many branches of acoustics for the numerical solution of the wave equation, including biomedical ultrasound and seismology. The use of the Fourier collocation spectral method in…

Computational Physics · Physics 2020-12-03 E. S. Wise , J. Jaros , B. T. Cox , B. E. Treeby

A phonetic posteriorgram (PPG) is a time-varying categorical distribution over acoustic units of speech (e.g., phonemes). PPGs are a popular representation in speech generation due to their ability to disentangle pronunciation features from…

Audio and Speech Processing · Electrical Eng. & Systems 2024-02-28 Cameron Churchwell , Max Morrison , Bryan Pardo

Large-scale distributed training requires significant communication bandwidth for gradient exchange that limits the scalability of multi-node training, and requires expensive high-bandwidth network infrastructure. The situation gets even…

Computer Vision and Pattern Recognition · Computer Science 2020-06-24 Yujun Lin , Song Han , Huizi Mao , Yu Wang , William J. Dally

Most audio processing pipelines involve transformations that act on fixed-dimensional input representations of audio. For example, when using the Short Time Fourier Transform (STFT) the DFT size specifies a fixed dimension for the input…

Audio and Speech Processing · Electrical Eng. & Systems 2022-03-28 Krishna Subramani , Paris Smaragdis

Fourier representation (FR) is an indispensable mathematical formulation for modeling and analysis of physical phenomenon, engineering systems and signals in numerous applications. In this study, we present the generalized Fourier…

Signal Processing · Electrical Eng. & Systems 2020-08-28 Pushpendra Singh

Language models have been successfully used to model natural signals, such as images, speech, and music. A key component of these models is a high quality neural compression model that can compress high-dimensional natural signals into…

Sound · Computer Science 2023-10-30 Rithesh Kumar , Prem Seetharaman , Alejandro Luebs , Ishaan Kumar , Kundan Kumar

In digital signal processing time-frequency transforms are used to analyze time-varying signals with respect to their spectral contents over time. Apart from the commonly used short-time Fourier transform, other methods exist in literature,…

Signal Processing · Electrical Eng. & Systems 2021-01-19 Stefan Scholl

This paper is devoted to the development and research of a new compression technology based on Weyl-Heisenberg bases (WH-technology) for modifying the JPEG compression standard and improving its characteristics. For this purpose, the paper…

Image and Video Processing · Electrical Eng. & Systems 2025-11-18 V. Asiryan , V. Volchkov , N. Papulovskaya

The graph fractional Fourier transform (GFRFT) applies a single global fractional order to all graph frequencies, which restricts its adaptability to diverse signal characteristics across the spectral domain. To address this limitation, in…

Signal Processing · Electrical Eng. & Systems 2025-08-01 Manjun Cui , Zhichao Zhang , Wei Yao

Electron paramagnetic resonance (EPR) study of air-physisorbed defective carbon nano-onions evidences in favor of microwave assisted formation of weakly-bound paramagnetic complexes comprising negatively-charged O2- ions and edge carbon…

Mesoscale and Nanoscale Physics · Physics 2016-06-10 D. W. Boukhvalov , V. Yu. Osipov , A. I. Shames , K. Takai , T. Hayashi , T. Enoki