Kokoshkin A.V., Korotkov V.A., Novichikhin E.P. Reconstruction of Acoustic Signals According to Incomplete Data. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS , 2020 , 65 (12). С. 1399-1406. ISSN 1064-2269
Полный текст не доступен из этого репозитория. (Заказать копию)Аннотация
Problems of reconstructing acoustic signals from unevenly spaced samples (sparse signal) and signals distorted by losses of adjacent samples (solid gaps) are considered. To solve these problems original algorithms are proposed: the method of interpolation of the sequentially calculated Fourier spectrum and the method of amplitude iterations. The effectiveness of these methods is compared with the method of projections onto convex sets and its modification, implemented using an evolutionary time-frequency transformation based on the basic functions of Slepian. In the case of continuous gaps, comparisons are made with a one-dimensional modification of the method, which is related to neural networks image inpainting. Evaluation of the effectiveness of the proposed methods according to objective criteria indicates their suitability for practical use.
| Тип объекта: | Статья |
|---|---|
| Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Кокошкин А. В., Коротков В. А., Новичихин Е. П. |
| Подразделения (можно выбрать несколько, удерживая Ctrl): | 303 лаб. методов информатизации дистанционного зондирования |
| URI: | http://cplire.ru:8080/id/eprint/8927 |
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