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Signals and AI Group in Engineering at Indiana University

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Home »Research Projects »RF Signal Compression Using SVD

RF Signal Compression Using SVD

For the paper, “Singular Value Decomposition for Efficient Compression of Large-Scale Radio Frequency Signals,” submitted to ICASSP 2021.

The source code:

https://github.com/rdbadger/RF_SVD

The dataset:

https://drive.google.com/drive/folders/1SzrkLaGHdV8UGzkGh3QDGUTVK1bXmlo5

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  • Home
  • News
  • People
  • Research Projects
    • Personalized Speech Enhancement
      • Collaborative Deep Learning
      • Sparse Mixture of Local Experts
      • Knowledge Distillation for PSE
      • Self-Supervised Learning and Data Purification for PSE
    • Music Applications
      • Neural Pitch Correction of Singing Voice
      • SpaIn-Net: Spatially Informed Music Source Separation
      • Don’t Separate, Learn to Remix: End-to-End Neural Remixing
      • Neural Upmixing via Style Transfer
    • Learning to Hash for Source Separation
    • Neural Audio Coding
      • Psychoacoustic Loss Functions for Neural Audio Coding
      • Source-Aware Neural Audio Coding
      • HARP-Net
    • Collaborative Audio Enhancement
  • Publication
  • Prospective Members
  • QuickFacts