Dataset for sparse data reconstruction with AI

Citation Author(s):
Mingqiang
Zhang
Shandong University
Haixia
Zhang
Shandong University
Dongfeng
Yuan
Shandong University
Submitted by:
Mingqiang Zhang
Last updated:
Wed, 03/17/2021 - 10:06
DOI:
10.21227/xssz-sx65
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Abstract 

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).

https://pan.baidu.com/s/1pMvrcQ3-MT_riIxnsbQDbw   Code:fgoe

If you have any questions or suggestions, do not hesitate to contact the corresponding author: mqzhang@mail.sdu.edu.cn

 

Instructions: 

Please refer to the paper“Learning-based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks”on IEEE Xplore.

https://ieeexplore.ieee.org/abstract/document/9354846