EECE 691C - Digital Signal Processing (3 credits)

Review of signals, systems and transforms. Design of Digital Filters: FIR and IIR. Sampling and reconstruction of signals. Multi-rate signal processing with applications. Effects of finite word length.  Discrete random signals and Spectral Estimation. Introduction to 2D  signal and image processing. (Syllabus)

EECE 694C - Digital Image Processing (3 credits)

Two-dimensional signals and systems. Image formation and perception. Representation, coding, filtering restoration and enhancements. Feature extraction and scene analysis. Introduction to computer vision. (Syllabus)

EECE 673C - Neural Networks (3 credits)

Perceptron, madalina, back propagation, and adaptive neural networks. Transformation by layered networks ,statistical neurodynamics, associative memory and neural learning. Applications to functional approximations, signal filtering, and pattern classification. (Syllabus)

EECE 695 - Adaptive Filtering (3 credits)

Fundamentals of adaptive filter analysis and design, with emphasis on applications in linear and decision-feedback equalization, beam forming, channel estimation and tracking, noise and echo cancellation, source separation, and blind equalization. Stochastic gradient algorithms (LMS-type) and recursive
least-squares algorithms (RLS-type). (Syllabus)