#wavelet-transform News & Analysis

3 articles tagged with #wavelet-transform. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 27/10

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WaveFilter: Enhancing the Long-Context Capability of Diffusion LLMs via Wavelet-Guided KV Cache Filtering

Researchers introduce WaveFilter, a training-free framework that uses wavelet transforms to optimize Key-Value cache filtering in Diffusion Large Language Models, addressing computational bottlenecks in long-context processing. The technique enables sparse KV caching to maintain generation quality while reducing inference latency, offering plug-and-play compatibility with existing LLM architectures.

AINeutralarXiv – CS AI · Jun 16/10

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Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification

Researchers propose Dual-Spectral Flow Matching (DSFM), a generative AI framework that synthesizes functional MRI brain imaging data by combining wavelet and cosine transforms with spectral flow matching. The approach addresses limitations in replicating complex BOLD signal dynamics for improved brain disorder identification and analysis.

AIBullisharXiv – CS AI · Mar 36/108

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A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features

Researchers developed a deep learning framework using Continuous Wavelet Transform and CNNs for heat demand forecasting in district heating systems. The model achieved 36-43% reduction in forecasting errors compared to existing methods, reaching up to 95% accuracy in predicting day-ahead heat demand across multiple European cities.