Wavelet Methods

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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting
Oct 7, 2026Aashish Bohra, Lokendra VishwakarmFinancial Forecasting Time Series Forecasting
Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan 342030, India · School of Computing and Data Sciences, FLAME University, Pune Maharashtra, India
WST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detection
Sep 24, 2026Kwok-Ho Ng, Tingting Song, Bingwen Feng +1Audio Deepfake Detection Wavelet Methods
College of Cyber Security, Jinan University, Guangzhou, China
Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting
Sep 24, 2026Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3Time Series Classification Frequency-Domain Feature Learning
School of Computer Science and Engineering, Beihang University, Beijing, China · School of Computer Science and Engineering and the School of Economics and Management, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China, and are also with the MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China +1
Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling
Sep 23, 2026Weikang Qian, Yixin Wen, Chugang Yi +3Spatial Generalization Precipitation Downscaling
University of Florida, Department of Geography, Gainesville, FL, USA · School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA · Institute for Advanced Computational Science, Stony Brook University, NY, USA +5
Notes on Fourier-Bessel wavelets
Sep 22, 2026Marcel Venturotti, Georgios ExarchakisWavelet Methods
Department of Computer Science, University of Bath.
Processing and classifying bird songs using wavelet techniques and supervised learning
Sep 11, 2026Laura Lucia Dominguez Barrios, Fidel Aniano Causil Barrios, Alex Rodrigo dos Santos Sousa +1Wavelet Methods Bioacoustics
Department of Statistics, State University of Campinas, Campinas, Brazil
Layerwise Tunable Lifting Scheme for the Convolutional Neural Network
Sep 9, 2026Abdumannon Yovkochov, An Le, Sungbal Seo +2Wavelet Methods Convolutional Neural Networks
Electrical and Computer Engineering Department, University of California San Diego, La Jolla, CA 92093, USA · Department of Computer Engineering, Tech University of Korea, Siheung 15073, Korea
New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization
Aug 12, 2026Vasil Kolev, Todor Cooklev, Fritz KeinertWavelet Methods Image Denoising
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bl. 2, Acad. G. Bonchev St., 1113 Sofia, Bulgaria · Wireless Technology Center, Purdue University, Fort Wayne, IN 46805, USA · Department of Mathematics, Iowa State University, Ames, IA 50011, USA
Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation
Aug 11, 2026Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2GPU Kernel Optimization Wavelet Methods
The Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel
UAV-Based Environmental Monitoring of Rip-Current Indicators Using Wavelet-Derived Texture Features
Aug 3, 2026Yonatan Ben Avraham, Baruch Binyaminov, Yehudit ApersteinWavelet Methods UAV Remote Sensing
1Intelligent Systems, Afeka Academic College of Engineering, Tel Aviv 6998812, Israel
Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery
Jul 23, 2026Amirhossein Nouranizadeh, Sarang Rajendra Patil, Alan John Varghese +3Graph Signal Processing Sparse Recovery
Simplicial Technologies Inc., Toronto, ON, Canada · Department of Data Science, New Jersey Institute of Technology, Newark, NJ · School of Engineering, Brown University, Providence, RI +2
Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection
Jul 22, 2026Priyalakshmi Sheela, Indrakshi DeyReinforcement Learning Concept Drift
Walton Institute, Department of Computing, South East Technological University, Waterford, Ireland
LiNO: Lifting based multiresolution neural operator
Jul 2, 2026Himanshu Pandey, Subham Patel, Ratikanta BeheraWavelet Methods PDE Operator Learning
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore 560012, India · IISc Mathematics Initiative, Department of Mathematics, Indian Institute of Science, Bangalore, 560012, India
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
Jun 25, 2026Defu Cao, Zijie Lei, Muyan Weng +2Time Series Forecasting LLM-Based Time Series Forecasting
University of Southern California · Meta · Google DeepMind
A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling
Jun 23, 2026Somyajit Chakraborty, Ming Pan, Xizhong ChenSurrogate Modeling PDE Surrogate Modeling
Shanghai Jiao Tong University, Department of Chemistry and Chemical Engineering 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
PHAST-Net: Attention-Guided, Physics-Informed Network for Unified Estimation of Ideal Time-Frequency Representations
Jun 22, 2026James M. Cozens, Simon J. GodsillAudio Representation Learning Wavelet Methods
Engineering Department, University of Cambridge, CB2 1PZ Cambridge, U.K.
Spiking Pyramid Wavelet Transformation for High-efficient and Low-energy Image Restoration
Jun 17, 2026Chen Zhao, Xiantao Hu, Song Wu +5Efficient Neural Network Inference Wavelet Methods
School of Intelligence Science and Technology, Nanjing University, Suzhou, 215163, Jiangsu, China · PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China · China Mobile Institute, Beijing, 100032, China +1
WaveDINO: Learning-Based Atmospheric Correction of Unwrapped InSAR Interferograms Validated by GNSS: Results at Laguna del Maule and Campi Flegrei Volcanoes
Jun 15, 2026Robert Popescu, Juliet Biggs, Tianyuan Zhu +1Remote Sensing Wavelet Methods
University of Bristol, Bristol, U.K.
Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data
Jun 13, 2026Yasir Arafat Prodhan, Shaikh Anowarul FattahU-Net Wavelet Methods
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.
Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology
Jun 7, 2026Zhe Li, Bernhard KainzComputational Pathology Adversarial Robustness
FAU Erlangen-Nürnberg Erlangen, Germany · Imperial College London London, UK
Wavelet as Tokenizer: Preliminary Results on a Shared Wavelet Token Schema for Natural Signals
May 30, 2026Shenghao DingWavelet Methods Multimodal Token Compression
Yet Another AI
ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression
May 27, 2026Haisheng Fu, Runyu Yang, Feng Ding +5Learned Image Compression Hybrid CNN-Transformer Architectures
Electrical and Computer Engineering Department, The University of British Columbia, Vancouver, BC, Canada · School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada · School of Electronic Science and Technology, Eastern Institute of Technology, Ningbo, China +1
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
May 25, 2026Ungvári Gergő, Ferenc Braun, Attila Ámon +4Wavelet Methods Aerial Object Detection
Department of Numerical Analysis, Eötvös Loránd University, Pázmány Péter sétány, Budapest, 1117, Hungary. · System and Control Laboratory, HUN-REN Institute for Computer Science and Control, Kende utca, Budapest, 1111, Hungary. · HUN-REN Centre for Energy Research, Konkoly-Thege Miklós út, Budapest, 1121, Hungary. +3
WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations
May 23, 2026Muhammad Abid, Arth Sojitra, Omer SanPDE Solving Multi-Scale Feature Fusion
Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville Knoxville, TN 37996, USA.
Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
May 23, 2026Ghassen Marrakchi, Basarab MateiWavelet Methods Dense Prediction
Northern Paris Computer Science Lab, Sorbonne Paris Nord University, Villetaneuse, France.
Wavelet Flow Matching for Multi-Scale Physics Emulation
May 15, 2026Gabriele Accarino, Juan Nathaniel, Carla Roesch +4Flow Matching PDE Surrogate Modeling
Department of Earth and Environmental Engineering Columbia University, NY, USA · University of Edinburgh Edinburgh, Scotland, UK · Courant Institute of Mathematical Sciences New York University, NY, USA +2
Wavelet-Based Observables for Koopman Analysis: An Extended Dynamic Mode Decomposition Framework
May 14, 2026Cankat Tilki, Serkan GugercinDynamical Systems Koopman Operator Learning
Department of Mathematics, Virginia Tech, Blacksburg, VA - 24061.
State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
May 13, 2026Hoang-Son Tran, Pranav Gupta, Rémi Bardenet +1Determinantal Point Process Wavelet Methods
Department of Mathematics National University of Singapore · Univ. Lille, CNRS, Centrale Lille UMR 9189 – CRIStAL
Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
May 10, 2026Jens Egholm Pedersen, Tony Lindeberg, Peter GerstoftWavelet Methods Spiking Neural Networks
Department of Electrical and Photonics Engineering Technical University of Denmark Denmark · Department of Computational Science and Technology KTH Royal Institute of Technology Sweden
NPMixer: Hierarchical Neighboring Patch Mixing for Time Series Forecasting
May 8, 2026Jung Min Choi, Vijaya Krishna Yalavarthi, Lars Schmidt-ThiemeMultivariate Time Series Forecasting Time Series Forecasting
1ISMLL, University of Hildesheim, VWFS Data Analytics Research Center (VWFS-DARC), Hildesheim, Germany.

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DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting

Aashish Bohra, Lokendra Vishwakarm

Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan 342030, India · School of Computing and Data Sciences, FLAME University, Pune Maharashtra, India

Financial Forecasting Time Series Forecasting Wavelet Methods Time Series Transformers

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Wavelet-based financial forecasters typically use the transform only to denoise, or reduce it to a single spectral snapshot at the forecast origin, and the convolution that produces the coefficients is usually bilateral, so it can read past the forecast origin. DSTNet instead retains the recent evolution of filter-bank magnitudes as a causal Dynamic Spectral Trajectory, built from seven trailing technical indicators over a twenty-day lookback with a one-sided Morlet-derived filter bank and an explicit burn-in for the left-boundary transient. A factorized Scale-Temporal Spectral Transformer attends along the time and filter-bank axes separately, a learned gate fuses the spectral branch with a CNN-BiLSTM, and horizon-specific gates emit one, three, five, and ten day forecasts in a single pass. We evaluate seven equity indices and gold under a common expanding-window protocol and an untouched one-year hold-out, against nine learned baselines and a random-walk persistence benchmark. Under MAE and MAPE, persistence is the strongest of the ten fixed competitors in 29 of the 32 series-horizon cells and DSTNet is the only model below it in every cell, by 0.7 to 0.9 percent at one day and 3.4 to 4.5 percent at ten days. At one day, paired testing favours DSTNet against the weaker learned baselines but is inconclusive against persistence and the strongest learned forecasters. A downstream allocation diagnostic does not support an equity-timing advantage on any of the seven indices.

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