Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/18/4667673/07953681.pdf?arnumber=7953681
Cited by 7 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. Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets;SIAM Journal on Mathematics of Data Science;2022-04-25
2. Minimax Bounds for Blind Network Inference;2021 IEEE International Symposium on Information Theory (ISIT);2021-07-12
3. Multiple haplotype reconstruction from allele frequency data;Nature Computational Science;2021-04
4. Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization;IEEE Signal Processing Letters;2019-07
5. Multiscale change-point segmentation: beyond step functions;Electronic Journal of Statistics;2019-01-01
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