A subset of these topics will be covered:
- Introduction: Topics in DSP, linear algebra, and Discrete-time random processes (as needed)
- Spectral estimation (temporal):Non-parametric spectrum estimation, Parametric methods for rational spectra (ARMA, MA, AR processes) and line spectra
- Array signal processing (spatial): Subspace algorithms – MUSIC, ESPRIT, Root-MUSIC, Applications – direction-of-arrival (DOA) estimation, signal separation
- Optimum filltering (Wiener-Hopf equations, Wiener fillters)
- Adaptive filtering
- Gradient based adaptive filters (LMS)
- Recursive least squares
- Other potential topics: Neural networks, Kalman filter, Signal analysis: PCA, LDA, ICA, NMF, Least-squares signal processing
