Frequency-Domain Analysis

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26 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis
Oct 27, 2026Manan Mittal, Kanad Sarkar, Ryan M. Corey +2Time-Frequency Analysis Frequency-Domain Analysis
Stony Brook University · University of Illinois Urbana Champaign · University of Illinois Chicago +1
Temporal Slice Learning for AI-Generated Video Detection with 400 $\times$ Fewer FLOPs
Oct 26, 2026Wei Shang, Zhiyuan Li, Shengfeng HeFrequency-Domain Analysis Deepfake Detection
School of Computing and Information Systems, Singapore Management University
Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis
Oct 21, 2026Samuel Halimi, Loic Themyr, Arnaud AbreuFrequency-Domain Analysis Chest X-Ray Classification
rue d’Uz`es 75002 Paris
Revisiting Input Time-frequency Representations in Multi-pitch Estimation for Vocal Ensembles
Oct 2, 2026Junyoung Koh, Hao-Wen DongMusic Information Retrieval Audio Understanding
Yonsei University · University of Michigan
Learnable Time-Frequency Masks for Explaining Time-Series Classifiers
Sep 24, 2026Theresa Dahl Frehr, Francisco Pelayo, Lukas Raad +3Feature Attribution Time Series Classification
Department of Applied Mathematics and Computer Science Technical University of Denmark
Exact Factorisation and Fast Computation of Invertible Constant-Q Transforms
Sep 24, 2026Facundo Franchino, Eloi Moliner, Vesa VälimäkiGPU Acceleration Time-Frequency Analysis
Massachusetts Institute of Technology, Cambridge, MA, USA · Acoustics Lab, Dept. of Information and Communications Eng., Aalto University, Espoo, Finland
FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Sep 1, 2026Kewei Li, Rongying Zhang, Xueli Wang +6Frequency-Domain Feature Learning Frequency-Domain Analysis
College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America. +4
Euclidean Fourier Neural Operators
Aug 28, 2026Nathanael Bosch, Niklas Frederik Schmitz, Michael F. HerbstFourier Neural Operator Neural Operators
Mathematics for Materials Modelling (MatMat), Institute of Mathematics & Institute of Materials, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding
Aug 26, 2026Tianle Wang, Xinyi Tong, Liangke Zhao +7Music Understanding Time-Frequency Analysis
Beijing Institute for General Artificial Intelligence, Beijing, China · Central Conservatory of Music, Beijing, China · Peking University, Beijing, China
DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling
Aug 11, 2026Hengbo Xiao, Jiale Liu, Jiahao Song +1PDE Operator Learning Data-Efficient Learning
Peking University
Structural Bottlenecks on Frequency Representation in End-to-End Audio Models
Jul 9, 2026Nicole Cosme-CliffordAudio Representation Learning Neural Audio Codecs
Yale University New Haven, CT
Harmonic-Aware Transformer for Real-Time Catheter Localization in Interventional Procedures of Magnetic Particle Imaging
Jul 3, 2026Abuobaida M. Khair, Wenjing Jiang, Xiaoli Yang +2Medical Imaging Transformer
School of Control Science and Engineering, Shandong University, Jinan 250061, China · Department of Medical Physics, Al-Neelain University, Khartoum, Sudan · Weifang Xinli Superconducting Magnet Technology Co., Ltd, Weifang 261005, China +1
FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts
Jun 30, 2026Tom Saliencro, Maya Lindqvist, Rohan Desai +2Low-Rank Adaptation Mixture-of-Experts Models
University of California, Irvine · University of Washington
CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
Jun 7, 2026Malgorzata Galinska, Bart Pogodzinski, Jan Eric LenssenFlow Matching Frequency-Domain Analysis
Max Planck Institute for Informatics, Saarland Informatics Campus
FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
May 31, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniLong-Term Time Series Forecasting Frequency-Domain Feature Learning
Fandaqah, Al Khobar, Saudi Arabia · Hamdard University, Karachi, Pakistan
Limits of Resolution Equivariance in Fourier Neural Operators
May 30, 2026Alex Colagrande, Paul Caillon, Eva Feillet +1Fourier Neural Operator Equivariant Neural Networks
Miles Team, LAMSADE, Universit´e Paris Dauphine-PSL, Paris, France · Universit´e Paris-Saclay, CNRS, LISN, France · ESPCI PSL, Paris, France
FGSVQA: Frequency-Guided Short-form Video Quality Assessment
May 19, 2026Xinyi Wang, Angeliki Katsenou, Junxiao Shen +1Frequency-Domain Analysis Video Quality Assessment
School of Computer Science, University of Bristol, Bristol BS1 8UB, UK
SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection
May 17, 2026Zixi Wei, Huixuaun Zhang, Xiaojun WanFrequency-Domain Analysis Digital Forensics
Wangxuan Institute of Computer Technology, Peking University
Diagnosing Spectral Ceilings in Equivariant Neural Force Fields
May 8, 2026Hyunmog KimMachine Learning Interatomic Potentials Spectral Bias
Independent Researcher.
Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
May 8, 2026Zhiyuan Wang, Yanxiang Chen, Pengcheng Zhao +2Disentangled Representation Learning Frequency-Domain Analysis
Hefei University of Technology · Key Laboratory of Knowledge Engineering with Big Data · Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education; School of Computer Science and Information Engineering, Hefei University of Technology; and Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology) +3
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
May 7, 2026Alessandro Pagani, Marco Cominelli, Liying Han +11Frequency-Domain Feature Learning Time Series Representation Learning
DII, University of Brescia, Italy. · DEIB, Politecnico di Milano, Italy. · ECE Department, University of California, Los Angeles, USA. +6
Latent Fourier Transform
Apr 20, 2026Mason Wang, Cheng-Zhi Anna HuangControllable Music Generation Frequency-Domain Feature Learning
CSAIL
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
Mar 19, 2026Runze Yang, Longbing Cao, Xiaoming Wu +4Frequency-Domain Time Series Modeling Time Series Forecasting
1Macquarie University · 2Shanghai Jiao Tong University · 3Nanyang Technological University +1
Spectrogram features for audio and speech analysis
Mar 16, 2026Ian McLoughlin, Lam Pham, Yan Song +7Audio Representation Learning Frequency-Domain Analysis
Singapore Institute of Technology · Austrian Institute of Technology · The University of Science and Technology of China +1
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
Mar 10, 2026Boya Zhang, Shuaijie Yin, Huiwen Zhu +1Time Series Forecasting Frequency-Domain Time Series Modeling
Shanghai Jiao Tong University, Shanghai, China
A Novel Unified Approach to Deepfake Detection
Jan 6, 2026Lord Sen, Shyamapada MukherjeeImage Forgery Detection Frequency-Domain Analysis
Computer Science and Engineering NIT Rourkela Rourkela, Odisha

Oct 27, 2026J/K move · Enter open · S save

Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis

Manan Mittal, Kanad Sarkar, Ryan M. Corey, John R. Buck+1

Stony Brook University · University of Illinois Urbana Champaign · University of Illinois Chicago+1

Time-Frequency Analysis Frequency-Domain Analysis

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The short-time Fourier transform (STFT) characterizes the local frequency content of time-varying signals by evaluating the discrete Fourier transform over a sliding analysis window. The STFT is governed by a fundamental resolution trade-off: a short window localizes rapid transients in time at the cost of frequency resolution, whereas a long window resolves closely spaced harmonics at the expense of temporal resolution. The Universal Short-Time Fourier Transform (U-STFT) resolves this trade-off sequentially by modeling the analysis window duration as a data-adaptive state variable that indexes the number of hops included in the current observation interval. At each frame, a bank of candidate window durations is scored using normalized order-three Rényi entropy to quantify joint time-frequency concentration. A window length trellis aggregates the resulting

\mathcal{O}(3^M)

candidate window schedules with linear complexity per frame, guaranteeing a cumulative mix-loss regret bound of

\mathcal{O}((k+1)\log M)

relative to any hindsight window schedule with

k

resolution changes over

M

frames. By linearity of the Fourier transform, posterior expectation across the candidate bank yields a single spectrum equivalent to an STFT evaluated with a data-adaptive effective window, while an envelope-normalized synthesis stream guarantees exact overlap-add reconstruction. Evaluations on synthetic and marine bioacoustic signals demonstrate adaptive resolution tracking, enhanced spectral concentration, and exact time-domain invertibility.