An Application of Complex Fuzzy Soft Matrices in Signal Processing
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866911524455448576 |
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| author | Oladokun, Olayemi R. Sangodapo, Taiwo O. |
| author_facet | Oladokun, Olayemi R. Sangodapo, Taiwo O. |
| contents | In this paper, we study the concept of complex fuzzy soft matrices. The application of complex fuzzy soft matrices in signals and systems via the cross product of complex fuzzy soft matrices and Fourier transform was carried out. In this application, an algorithm for the identification of a reference signal out of large interest signals detected by a digital receiver was presented. It was recorded that, the Fourier transform is better because it gave a higher optimal value and as a result, there was a better reference signal $R.$ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_16965 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | An Application of Complex Fuzzy Soft Matrices in Signal Processing Oladokun, Olayemi R. Sangodapo, Taiwo O. General Mathematics 03E72, 08A72 In this paper, we study the concept of complex fuzzy soft matrices. The application of complex fuzzy soft matrices in signals and systems via the cross product of complex fuzzy soft matrices and Fourier transform was carried out. In this application, an algorithm for the identification of a reference signal out of large interest signals detected by a digital receiver was presented. It was recorded that, the Fourier transform is better because it gave a higher optimal value and as a result, there was a better reference signal $R.$ |
| title | An Application of Complex Fuzzy Soft Matrices in Signal Processing |
| topic | General Mathematics 03E72, 08A72 |
| url | https://arxiv.org/abs/2603.16965 |