| Autor: |
Kashif Waqas, Umar Hamid, Shahid Ali |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 International Symposium on Recent Advances in Electrical Engineering (RAEE). |
| Popis: |
Surveillance and detection displays in underwater acoustic processing systems provide information about acoustic frequency signatures radiated by the surface and submerged targets. Data compression is one of the most important tasks in surveillance and detection displays as there is always limited amount of space for data presentation due to limited sizes of displays and number of pixels. Hence there is always a need for an efficient and accurate algorithm that can reduce the number of data points without disturbing or losing the information present in the data. The data compression algorithm needs to be fast enough to cope up with the real time processing requirements required by the detection displays. In this paper we have proposed an improved data compression algorithm that is compared with the well-known “cubic spline interpolation”. The proposed algorithm has successfully reduced the data points and showed almost no loss in the frequency contents of data and its mapping on the surveillance and detection displays. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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