Maximum Entropy and Bayesian Methods 1990
DOI: 10.1007/978-94-009-0683-9_27
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Maximum Entropy Analysis for Pattern Recognition

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Cited by 4 publications
(5 citation statements)
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“…The MEM is supposedly superior to the FFT for corrosion studies in the following ways: (a) it only requires a single time record for computation, (b) it is significantly quicker than the FFT method, (c) it produces a smoother spectrum than the FFT method, and (d) it permits computation at frequencies lower than the inverse of the acquisition time. The mathematical discussion of the PSD and its autocorrelation functions is available elsewhere. , The PSD analyses of EPN, ECN, and Z n were computed by using the Hanning windows function for FFT and square windows within the MEM.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The MEM is supposedly superior to the FFT for corrosion studies in the following ways: (a) it only requires a single time record for computation, (b) it is significantly quicker than the FFT method, (c) it produces a smoother spectrum than the FFT method, and (d) it permits computation at frequencies lower than the inverse of the acquisition time. The mathematical discussion of the PSD and its autocorrelation functions is available elsewhere. , The PSD analyses of EPN, ECN, and Z n were computed by using the Hanning windows function for FFT and square windows within the MEM.…”
Section: Methodsmentioning
confidence: 99%
“…The mathematical discussion of the PSD and its autocorrelation functions is available elsewhere. 38 , 39 The PSD analyses of EPN, ECN, and Z n were computed by using the Hanning windows function for FFT and square windows within the MEM.…”
Section: Methodsmentioning
confidence: 99%
“…Gray (1990) has used it in information theory. Chen (1990) uses entropy in pattern recognition. Brockett (1991) and Brockett et al (1995) have found its applications in actuarial science and in marketing research, respectively.…”
Section: Applicationsmentioning
confidence: 99%
“…Gray (1990) has used it in Information Theory. Chen (1990) uses entropy in Pattern Recognition. Brockett (1991) and Brockett et al (1995) have found its applications in actuarial science and in marketing research respectively.…”
Section: Applicationsmentioning
confidence: 99%