Image de couverture de livre

Adaptive function approximation based on the Discrete Cosine Transform (DCT)

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pérez-Neira, Ana I., Martinez-Gost, Marc, Lagunas, Miguel Ángel
Format:	Preprint
Publié:	2023
Sujets:	Signal Processing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ENN: A Neural Network with DCT Adaptive Activation Functions
par: Martinez-Gost, Marc, et autres
Publié: (2023)

The DCT Neuron for Estimation and Compensation of Amplitude Distortions in OFDM Systems
par: Martinez-Gost, Marc, et autres
Publié: (2026)

The DCT Model as a Novel Regression Framework within a Lagrangian Formulation
par: Martinez-Gost, Marc, et autres
Publié: (2026)

Efficient Neural Networks with Discrete Cosine Transform Activations
par: Martinez-Gost, Marc, et autres
Publié: (2025)

LoRa-based Over-the-Air Computing for Sat-IoT
par: Martinez-Gost, Marc, et autres
Publié: (2023)

Frequency Modulation Aggregation for Federated Learning
par: Martinez-Gost, Marc, et autres
Publié: (2023)

LoRa Modulation for Split Learning
par: Martinez-Gost, Marc, et autres
Publié: (2023)

Exponential Noise Robustness of Type-Based Multiple Access for Over-the-Air Computation
par: Martinez-Gost, Marc, et autres
Publié: (2026)

Log-FSK: A Frequency Modulation for Over-the-Air Computation
par: Martinez-Gost, Marc, et autres
Publié: (2024)

Expanding Over-the-Air Computation with Frequency Modulations
par: Martinez-Gost, Marc, et autres
Publié: (2024)

Predictive Demodulation for Chaotic Communications
par: Martinez-Gost, Marc, et autres
Publié: (2024)

Frequency Modulation for Task-Oriented Communications and Multiple Access
par: Martinez-Gost, Marc, et autres
Publié: (2024)

Before AI Takes Over: Rethinking Nonlinear Signal Processing in Communications
par: Pérez-Neira, Ana, et autres
Publié: (2025)

Robust Over-the-Air Computation with Type-Based Multiple Access
par: Martinez-Gost, Marc, et autres
Publié: (2025)

Orbit-Aware Split Learning: Optimizing LEO Satellite Networks for Distributed Online Learning
par: Martinez-Gost, Marc, et autres
Publié: (2025)

Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers
par: Pan, Hongyi, et autres
Publié: (2024)

Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric
par: Tessari, Federico, et autres
Publié: (2024)

Waveforms for Computing Over the Air
par: Pérez-Neira, Ana, et autres
Publié: (2024)

Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval
par: Suzuki, Kei, et autres
Publié: (2022)

MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
par: Goksu, Huseyin
Publié: (2025)

Adaptive Block Sparse Regularization under Arbitrary Linear Transform
par: Furuhashi, Takanobu, et autres
Publié: (2024)

Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
par: Yan, Yi, et autres
Publié: (2023)

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation
par: Guler, Berkay, et autres
Publié: (2025)

Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
par: Toosi, Maedeh H., et autres
Publié: (2026)

Spatially-Adaptive Conformal Graph Transformer for Indoor Localization in Wi-Fi Driven Networks
par: Lehyeh, Ayesh Abu, et autres
Publié: (2026)

Quantized symbolic time series approximation
par: Carson, Erin, et autres
Publié: (2024)

A Transformer Inspired AI-based MIMO receiver
par: Rácz, András, et autres
Publié: (2025)

Compressed Sensing: A Discrete Optimization Approach
par: Bertsimas, Dimitris, et autres
Publié: (2023)

Industrial Machines Health Prognosis using a Transformer-based Framework
par: Poland, David J, et autres
Publié: (2024)

Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation
par: Modekwe, Gift, et autres
Publié: (2024)

Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
par: Yaman, Ilayda, et autres
Publié: (2025)

Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
par: Liang, Yuchen, et autres
Publié: (2025)

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
par: Sartipi, Shadi, et autres
Publié: (2024)

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
par: Majal, Arslan, et autres
Publié: (2025)

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
par: Bench, Ciaran, et autres
Publié: (2025)

Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
par: Määttä, Tuomas, et autres
Publié: (2024)

Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization
par: Ott, Jonathan, et autres
Publié: (2024)

Discrete Aware Matrix Completion via Convexized $\ell_0$-Norm Approximation
par: Führling, Niclas, et autres
Publié: (2024)

Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
par: Chen, Mingzhi, et autres
Publié: (2024)

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
par: Alcaraz, Juan Miguel Lopez, et autres
Publié: (2024)