Model-based signal processing
Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and...
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| Auteur principal: | Candy, J. V. |
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| Format: | Livre |
| Langue: | Undetermined |
| Publié: |
Hoboken, N.J.
IEEE Press
2006
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| Sujets: | |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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