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Advanced graduate courses taught by ISS faculty:
- SC701: Optimal Control and Robust Control. Multivariable poles and zeros, robustness analysis, norms and structured singular values, the Maximum Principle, LQR and LQG control design, robust control design using Loop Transfer Recovery, H-infinity robust design. Cannot be taken for credit in addition to ENG AM764.
- SC702: Recursive Estimation and Optimal Filtering. State-space theory of dynamic estimation in discrete and continuous time. Linear state-space models driven by white noise, Kalman filtering and its properties, optimal smoothing, non-linear filtering, extended and second-order Kalman filters, and sequential detection. Applications to radar, sonar, and optimal multitarget tracking, parameter identification
- SC715:Wireless Communications. Design and analysis of robust wireless communication systems. Spread-spectrum and CDMA. Radio-channel modeling: propagation, path loss, multipath, and fading. Cellular system design. Coding, diversity, and equalization. Alternative communication channels. Case studies. Multiple-access, mobility, and networking issues.
- SC716: Advanced Digital Signal Processing. Selected topics from time-frequency distributions, parametric signal modeling, high-resolution spectral estimation, multirate signal processing, multidimensional signal processing, adaptive signal processing, alternative algorithms for DFT computation, and signal representation in programs. Application examples chosen from speech, image, sonar, geophysical, and biomedical applications.
- SC717: Image Reconstruction and Restoration. Principles and methods of reconstructing images and estimating multidimensional fields from indirect and noisy data; general deterministic (variational) and stochastic (Bayesian) techniques of regularizing ill-posed inverse problems; relationship of problem structure (data and models) to computational efficiency; impact of typically large image processing problems n viability of solution methods; problems imaging and computer vision including tomography and surface reconstruction. Computer assignments
- SC719: Statistical Pattern Recognition. The statistical theory of pattern recognition, including both parametric and nonparametric approaches to classification. Covers classification with likelihood functions and general discriminant function, density estimation, supervised and unsupervised learning, decision trees, feature reduction, performance estimation, and classification using sequential and contextual information, including Markov and hidden Markov models. A project involving computer implementation of a pattern recognition algorithm is required.
- SC720: Digital Video Processing. Review of sampling/filtering in multiple dimensions, human visual system, fundamentals of information theory. Motion analysis: detection, estimation, segmentation, tracking. Image sequence segmentation. Spectral analysis of image sequences. Video enhancement: noise reduction, super-resolution. Video compression: transformation, quantization, entropy coding, error resilience. Video compression standards (H.26X and MPEG families). Future trends in image sequence compression and analysis. Homework and project will require MATLAB programming.
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