01384nam a2200217Ia 4500 CTU_165885 210402s9999 xx 000 0 und d 169. 621.3822 C216 Candy, J. V. Model-based signal processing James V. Candy Hoboken, N.J. IEEE Press 2006 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. Signal processing,Xử lý tín hiệu Digital techniques,Kỹ thuật số Trọng Hải Trung tâm Học liệu Trường Đại học Cần Thơ