| DC Field | Value | Language |
|---|
| dc.contributor.author | Uzor-Ejikeme, C. | - |
| dc.coverage.spatial | Минск | ru_RU |
| dc.date.accessioned | 2023-06-13T11:48:06Z | - |
| dc.date.available | 2023-06-13T11:48:06Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Uzor-Ejikeme, C. Noise and interference in transmission of speech signals in the coroporate network / C. Uzor-Ejikeme // Информационная безопасность : сборник материалов 59-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 17–21 апреля 2023 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2023. – С. 173–175. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/51982 | - |
| dc.description.abstract | In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications
that a signal may suffer during capture, storage, transmission, processing, or conversion. Sometimes, it can also mean signals that are random (unpredictable) and carry no useful information; even if they are not interfering with other signals or may have been introduced intentionally, as in comfort noise. Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory, namely the Nyquist–Shannon sampling theorem. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | Notch filters | ru_RU |
| dc.subject | speech signals | ru_RU |
| dc.subject | coroporate network | ru_RU |
| dc.title | Noise and interference in transmission of speech signals in the coroporate network | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | Информационная безопасность : материалы 59-й научной конференции аспирантов, магистрантов и студентов (2023)
|
