Accuracy Improvement of Background Noise Estimation in ELF Environment Electromagnetic Wave Using TPE-AE
| Autor: | Kouta Sugiura, Akitoshi Itai |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020208 electrical & electronic engineering
Outer product 020206 networking & telecommunications 02 engineering and technology Accuracy improvement Electromagnetic radiation Blind signal separation Background noise Norm (mathematics) 0202 electrical engineering electronic engineering information engineering Applied mathematics Norm minimization Minification Mathematics |
| Zdroj: | ISPACS |
| DOI: | 10.1109/ispacs.2018.8923212 |
| Popis: | In this paper, the background noise estimation using outer product expansion is developed. We have shown that a possibility of blind source separation based on an outer product expansion with L p norm minimization. The effectiveness of outer product expansions for artificial signals was represented in the conventional reports. The L 1 norm minimization has a problem in the estimation performance. The outer product expansion with lower norms (0.1 ∼ 0.9) showed a better estimation than L 1 norm. However, the estimation stability might not be performed by using conventional method. We show that the estimation accuracy and stability for L p norm minimization and its developed solution. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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