Joint Graph Learning and Blind Separation of Smooth Graph Signals Using Minimization of Mutual Information and Laplacian Quadratic Forms

Author:

Einizade Aref1ORCID,Sardouie Sepideh Hajipour1ORCID

Affiliation:

1. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

Funder

Smart University of Medical Sciences, Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Room impulse response reshaping-based expectation–maximization in an underdetermined reverberant environment;Computer Speech & Language;2024-11

2. A New Approach for Graph Signal Separation Based on Smoothness;IEEE Transactions on Signal Processing;2024

3. A signel-channel blind signal separation method based on signal type difference for time-frequency overlapped signal;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

4. A Closed-Form Solution for Graph Signal Separation Based on Smoothness;IEEE Transactions on Signal and Information Processing over Networks;2023

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