Upon successful completion of this course, students will have the level of understanding extending basic methodologies signal analysis in the direction of advanced processing and analysis of signals. Evaluation of methodologies for the practical feasibility with special circumstances (e.g., in the presence of intense noise) and develop a critical spirit to the selection of appropriate methods of analysis signals.
Course Content (Syllabus)
Modern signal processing methods. Higher-order statistics (HOS). Third and fourth order statistics. Calculation of cumulants, third and fourth order statistics. AR modelling using HOS. Time-frequency analysis. Signal analysis using the wavelet transform. Continuous and discrete wavelets. Multidimensional analysis. Adaptive filters diesign. Signal denoising. Delays and discontinuities detection and determination. Application on biomedical and other high complexity signals
advanced signal processing, cumulants-bispectrum, HOS, wavelets, EED
Additional bibliography for study
-Proakis, John G., Fuyun Ling, and C. Nikias. Advanced Topics in Digital Signal Processing. Prentice Hall Professional Technical Reference, 1992.
-Nikias, Chrysostomos L., and Athina P. Petropulu. "Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework. 1993." PTR Prentice Hall, Englewood Cliffs, NJ.