Umi, Murdika and Lukmanul, Hakim Penilaian karya ilmiah untuk artikel “Pemrosessan Sinyal Waktu Diskrit Menggunakan Compressive Sensing Berdasarkan Algoritma Pemulihan L1”. Fakultas Teknik Universitas Lampung.
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Abstract
Compressive Sensing method is a method that is widely applied to signal processing. The ability and superiority of this method is able to reconstruct signals with limited input. This paper aims to use the Compressive Sensing method in processing discrete time signals. The advantage of this CS method is to provide an original signal estimate from a small number of incoherent linear measurements by utilizing the sparsity properties. Solution using the Compressive Sensing method uses the signal approach as a linear combination of the basic functions which are sparse matrices. Signal recovery is done by minimizing L1-norm of the system equation. This paper shows that with the method applied to signal processing, a limited number of measurement signals can be returned close to the original signal. With the difference between the recovery signal and the original signal which is quite small.
| Item Type: | Other |
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| Subjects: | Q Science > Q Science (General) |
| Divisions: | Fakultas Teknik (FT) > Prodi Teknik Elektro |
| Depositing User: | Umi Murdika |
| Date Deposited: | 16 Feb 2022 01:16 |
| Last Modified: | 16 Feb 2022 01:16 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/39334 |
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