Signal Processing Meets SGD: From Momentum to Filter
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Zhipeng, Yu, Rui, Chang, Guisong, Li, Ying, Zhang, Yu, Li, Dazhou |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Momentum Recalibration in Online Gradient Learning
by: Yao, Zhipeng, et al.
Published: (2026)
by: Yao, Zhipeng, et al.
Published: (2026)
Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)
by: Isufi, Elvin, et al.
Published: (2022)
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)
by: Lin, Zhidi, et al.
Published: (2023)
Time-Frequency Filtering Meets Graph Clustering
by: Colominas, Marcelo A., et al.
Published: (2025)
by: Colominas, Marcelo A., et al.
Published: (2025)
Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing
by: Zang, Zhenya, et al.
Published: (2025)
by: Zang, Zhenya, et al.
Published: (2025)
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
Robust Photoplethysmography Signal Denoising via Mamba Networks
by: Chiu, I, et al.
Published: (2025)
by: Chiu, I, et al.
Published: (2025)
Differentiable Adaptive Kalman Filtering via Optimal Transport
by: He, Yangguang, et al.
Published: (2025)
by: He, Yangguang, et al.
Published: (2025)
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising
by: Liu, Yu-Tung, et al.
Published: (2024)
by: Liu, Yu-Tung, et al.
Published: (2024)
TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model
by: He, Yangguang, et al.
Published: (2025)
by: He, Yangguang, et al.
Published: (2025)
Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)
Normalizing Flow-based Differentiable Particle Filters
by: Chen, Xiongjie, et al.
Published: (2024)
by: Chen, Xiongjie, et al.
Published: (2024)
Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling
by: Zhang, Yi, et al.
Published: (2026)
by: Zhang, Yi, et al.
Published: (2026)
SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
by: Guan, Peimeng, et al.
Published: (2024)
by: Guan, Peimeng, et al.
Published: (2024)
Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing
by: Qi, Jun, et al.
Published: (2026)
by: Qi, Jun, et al.
Published: (2026)
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems
by: Li, Kan, et al.
Published: (2024)
by: Li, Kan, et al.
Published: (2024)
Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution
by: Yu, Yifan, et al.
Published: (2025)
by: Yu, Yifan, et al.
Published: (2025)
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
by: Dumitru, Mircea, et al.
Published: (2023)
by: Dumitru, Mircea, et al.
Published: (2023)
Sequential Inference for Gaussian Processes: A Signal Processing Perspective
by: Waxman, Daniel, et al.
Published: (2026)
by: Waxman, Daniel, et al.
Published: (2026)
Joint Signal Detection and Automatic Modulation Classification via Deep Learning
by: Xing, Huijun, et al.
Published: (2024)
by: Xing, Huijun, et al.
Published: (2024)
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
by: Haupt, Jarvis, et al.
Published: (2025)
by: Haupt, Jarvis, et al.
Published: (2025)
RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
by: Ju, Haocheng, et al.
Published: (2023)
by: Ju, Haocheng, et al.
Published: (2023)
Unveiling Hidden Convexity in Deep Learning: a Sparse Signal Processing Perspective
by: Zeger, Emi, et al.
Published: (2026)
by: Zeger, Emi, et al.
Published: (2026)
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)
A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
by: Lee, Cho-Yuan, et al.
Published: (2024)
by: Lee, Cho-Yuan, et al.
Published: (2024)
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)
by: Lin, Zhidi, et al.
Published: (2025)
Classification Filtering
by: Bayram, Ilker
Published: (2025)
by: Bayram, Ilker
Published: (2025)
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
by: Aburakhia, Sulaiman, et al.
Published: (2024)
by: Aburakhia, Sulaiman, et al.
Published: (2024)
Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)
by: Pöhl, Paul, et al.
Published: (2025)
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)
by: Ghogho, Mounir
Published: (2024)
A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation
by: Tian, Yu, et al.
Published: (2024)
by: Tian, Yu, et al.
Published: (2024)
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
by: Jenkins, Alexander, et al.
Published: (2024)
by: Jenkins, Alexander, et al.
Published: (2024)
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
by: Buciulea, Andrei, et al.
Published: (2024)
by: Buciulea, Andrei, et al.
Published: (2024)
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
by: Xie, Luyuan, et al.
Published: (2024)
by: Xie, Luyuan, et al.
Published: (2024)
BLIS-Net: Classifying and Analyzing Signals on Graphs
by: Xu, Charles, et al.
Published: (2023)
by: Xu, Charles, et al.
Published: (2023)
Robust Processing and Learning: Principles, Methods, and Wireless Applications
by: Wang, Shixiong, et al.
Published: (2026)
by: Wang, Shixiong, et al.
Published: (2026)
WVEmbs with its Masking: A Method For Radar Signal Sorting
by: Hu, Xianan, et al.
Published: (2025)
by: Hu, Xianan, et al.
Published: (2025)
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
by: Chuang, Chun-Hsiang, et al.
Published: (2024)
by: Chuang, Chun-Hsiang, et al.
Published: (2024)
Similar Items
-
Dynamic Momentum Recalibration in Online Gradient Learning
by: Yao, Zhipeng, et al.
Published: (2026) -
Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022) -
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023) -
Time-Frequency Filtering Meets Graph Clustering
by: Colominas, Marcelo A., et al.
Published: (2025) -
Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
by: Zhang, Yu, et al.
Published: (2025)