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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| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Hoboken, N.J.
IEEE Press
2006
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01384nam a2200217Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_165885 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 169. | ||
| 082 | |a 621.3822 | ||
| 082 | |b C216 | ||
| 100 | |a Candy, J. V. | ||
| 245 | 0 | |a Model-based signal processing | |
| 245 | 0 | |c James V. Candy | |
| 260 | |a Hoboken, N.J. | ||
| 260 | |b IEEE Press | ||
| 260 | |c 2006 | ||
| 520 | |a 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 extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. | ||
| 650 | |a Signal processing,Xử lý tín hiệu | ||
| 650 | |x Digital techniques,Kỹ thuật số | ||
| 904 | |i Trọng Hải | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||