The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming. Study Goals: You will have acquired insight in how signal processing mathematics is really applied in concrete engineering examples. You will know how to do a time-frequency analysis, how to apply the FFT in Digital Subscriber Lines (DSL), how to estimate, separate and filter signals..
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