Overview

Wavelet methods decompose signals into coarse trends and localized details, making them useful when important patterns vary in scale or occur briefly in time or space. Common approaches include discrete and continuous wavelet transforms, scattering features, and adaptive or lifting-based decompositions, often combined with neural networks for forecasting, image and audio analysis, and partial differential equations. Current work explores trainable wavelet bases and their use in transformers, neural operators, and generative models, alongside efficient implementations and new filter designs. A central tension is how to balance localization, stability, and information preservation against transform cost and the need for broad receptive fields; the best basis and decomposition depth can depend strongly on the task.

Latest papers

CardsList

49 papers4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

  1. Scale-aware and spatially-localised optimisation of kilometre-scale MLWP models

    Oct 27, 2026James Chappell, Sophie Luise Arana, Jack Bowyer +13Weather ForecastingSpatiotemporal Forecasting

  2. LowNet: Looped Wavelet Neural Networks with 24 Learnable Parameters for Solving Poisson Equations

    Oct 18, 2026Yuanhao GongPDE SolvingNeural PDE Solvers

  3. SETAREH Transform: A Sorting-Assisted Haar-Wavelet Sparsification Method for Approximate Inner-Product Computation

    Oct 16, 2026Seyed Kamaledin SetarehdanApproximate ComputingWavelet Methods

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

    Oct 7, 2026Aashish Bohra, Lokendra VishwakarmFinancial ForecastingTime Series Forecasting

  5. WNet: Discrete Wavelets Transform for Efficient Token Mixing

    Oct 3, 2026Rana Aref Salama, Abdou Youssef, Mona DiabTransformerSelf-Attention

  6. WST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detection

    Sep 24, 2026Kwok-Ho Ng, Tingting Song, Bingwen Feng +1Audio Deepfake DetectionWavelet Methods

  7. Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting

    Sep 24, 2026Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3Time Series ClassificationFrequency-Domain Feature Learning

  8. Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling

    Sep 23, 2026Weikang Qian, Yixin Wen, Chugang Yi +3Spatial GeneralizationPrecipitation Downscaling

  9. Notes on Fourier-Bessel wavelets

    Sep 22, 2026Marcel Venturotti, Georgios ExarchakisWavelet Methods

  10. Processing and classifying bird songs using wavelet techniques and supervised learning

    Sep 9, 2026Laura Lucia Dominguez Barrios, Fidel Aniano Causil Barrios, Alex Rodrigo dos Santos Sousa +1Wavelet MethodsBioacoustics

  11. Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

    Sep 9, 2026Abdumannon Yovkochov, An Le, Sungbal Seo +2Wavelet MethodsConvolutional Neural Networks

  12. Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs

    Aug 28, 2026Rajat Sarkar, Venkataramana Runkana, Souvik ChakrabortyPDE Operator LearningHypergraph Neural Networks

  13. Is Haar Enough? Exploring Symlets and Coiflets for Wavelet Convolution Layers

    Aug 18, 2026Md Rifat Ur RahmanWavelet MethodsConvolutional Neural Networks

  14. New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization

    Aug 12, 2026Vasil Kolev, Todor Cooklev, Fritz KeinertWavelet MethodsImage Denoising

  15. Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation

    Aug 11, 2026Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2GPU Kernel OptimizationWavelet Methods

  16. UAV-Based Environmental Monitoring of Rip-Current Indicators Using Wavelet-Derived Texture Features

    Aug 3, 2026Yonatan Ben Avraham, Baruch Binyaminov, Yehudit ApersteinWavelet MethodsUAV Remote Sensing

  17. Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery

    Jul 23, 2026Amirhossein Nouranizadeh, Sarang Rajendra Patil, Alan John Varghese +3Graph Signal ProcessingSparse Recovery

  18. Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection

    Jul 22, 2026Priyalakshmi Sheela, Indrakshi DeyReinforcement LearningConcept Drift

  19. LiNO: Lifting based multiresolution neural operator

    Jul 2, 2026Himanshu Pandey, Subham Patel, Ratikanta BeheraWavelet MethodsPDE Operator Learning

  20. Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting

    Jun 25, 2026Defu Cao, Zijie Lei, Muyan Weng +2Time Series ForecastingTokenization

  21. A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling

    Jun 23, 2026Somyajit Chakraborty, Ming Pan, Xizhong ChenSurrogate ModelingPDE Surrogate Modeling

  22. PHAST-Net: Attention-Guided, Physics-Informed Network for Estimation of Ideal Time-Frequency Representations

    Jun 22, 2026James M. Cozens, Simon J. GodsillAudio Representation LearningWavelet Methods

  23. Spiking Pyramid Wavelet Transformation for High-efficient and Low-energy Image Restoration

    Jun 17, 2026Chen Zhao, Xiantao Hu, Song Wu +5Efficient Neural Network InferenceWavelet Methods

  24. Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data

    Jun 13, 2026Yasir Arafat Prodhan, Shaikh Anowarul FattahU-NetWavelet Methods

  25. Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology

    Jun 7, 2026Zhe Li, Bernhard KainzComputational PathologyAdversarial Robustness

  26. ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression

    May 27, 2026Haisheng Fu, Runyu Yang, Feng Ding +5Learned Image CompressionHybrid CNN-Transformer Architectures

  27. Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks

    May 25, 2026Ungvári Gergő, Ferenc Braun, Attila Ámon +4Wavelet MethodsAerial Object Detection