Dataset for sparse data reconstruction with AI
A dataset asscociated with paper “Learning-based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks” in IEEE Internet of Things Journal. Five different structured sparse models (SSMs) are considered in the synthesized dataset, including random sparse (Sparse Model A), row sparse (Sparse Model B), row-sparse with embedded element-sparse (Sparse Model C), row-sparse plus element-spares (Sparse Model D) and block diagonal sparse (Block Sparse or group sparse).
If you have any questions or suggestions, do not hesitate to contact the corresponding author: firstname.lastname@example.org
Please refer to the paper“Learning-based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks”on IEEE Xplore.