Unformatted text preview: First, use stationary random data. Then, use nonstationary data. Include the code, plots of the data, etc. in your results. Explain your results. (2 points) 3. B&P 1.6 (1.3 in 3 rd edition) (1 point) 4. B&P 1.7 (1.4 in 3 rd edition) (1 point) 5. B&P 1.8 (1.5 in 3 rd edition) (1 point) 6. B&P 1.4 (1.9 in 3 rd edition) (1 point) 7. B&P 1.5 (1.10 in 3 rd edition) (1 point) 8. Write (type) a brief summary concerning your plan for a term paper. You may write about a topic that concerns this course (data measurement & analysis). It can be about application of the methods and (hopefully) some extension to new methods or analysis. If you don’t have a topic in mind, consider the following possibilities: beamforming, time-frequency analysis, Proper Orthogonal Decomposition, Kalman filtering, linear stochastic estimation, wavelets, higher-order spectral analysis, etc. For these, you could write a tutorial paper about the theory and provide some numerical Matlab examples. (1 point)...
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- Fall '11
- Signal Processing, Randomness, ensemble average technique, random noise component, average denoising scheme