|
|
|
||
Last update: T_KEVF (16.05.2005)
|
|
||
Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.06.2019)
Podmínkou zakončení předmětu je úspěšné složení zkoušky. |
|
||
Last update: T_KEVF (16.05.2005)
J. Lamperti: Stochastic processes, Applied Mathematical Sciences, Springer-Verlag, New York, 1997. H. W. Ott: Noise reduction techniques in electronic systems, John Wiley and Sons, New York, 1976. H. Schmidt: Electronic analog/digital conversions, Van Nostrand Reinhold Company, New York, 1970. W. H. Press, et al.: Numerical Recipes , Cambridge University Press, Cambridge, 1992. K. Zvára, J. Štěpán: Pravděpodobnost a matematická statistika, MatfyzPress, 2001. |
|
||
Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.06.2019)
Zkouška je ústní a student dostává otázky dle sylabu předmětu v rozsahu, který byl prezentován na přednáškách. |
|
||
Last update: T_KEVF (16.05.2005)
Conversion of non-electrical to electrical quantities. Generators and detectors (detectors based on secondary emission, semiconductor detectors, coordinate sensitive detectors). Analog-to-digital conversion, quantization error and its reduction, sampling error. Methods of small signal measurement, noise reduction techniques. 2. Signal processing Time-dependent electrical signal, its frequency spectrum. Modulation (amplitude, frequency, phase), demodulation, signal mixing. Filtering of frequency spectrum and frequency conversion, their mutual relations. Classification of filtering techniques, their advantages and disadvantages. Correlation function, its approximation, synchronous detection, lock-in amplifier. 3. Statistical methods of data processing Probability, random vectors, pseudorandom sequences, bias and variance of estimates, correlation coefficients, parametric methods. 4. Data modelling Interpolation, maximum likelyhood methods, general linear least squares method, singular values decomposition (SVD): theory and examples, non-linear least squares methods, confidence intervals, Golay-Savitzky filters, splines. 5. Random processes Mean value, correlation, stationarity ergodicity, convolution, power spectra, multidimensional spectral analysis, wavelet analysis. |