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Course Criteria
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, 571 Fundamentals of detection theory. Topics include Bayes and Neyman-Pearson tests, composite hypothesis testing, nonparametric test, detection of known signals in Gaussian noise, detection of signals with random parameters in noise, multiple pulse detection of signals, generalized likelihood ratio test, Bayes and maximum likelihood estimators, comparison of communication systems, space-time processing, application to radar and sonar.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521 An introduction to the theory and applications of pattern recognition. Topics include descriptions of patterns, problem formulation, linear and nonlinear classification theories, representation of patterns, feature selection, supervised and unsupervised training, nonparametric methods in pattern recognition, cluster and mode-seeking techniques, recursive algorithms using stochastic approximation, sequential pattern recognition, design of computer recognition experiments, linguistic approach to pattern recognition.
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3.00 Credits
3 hours lecture Prerequisites: ECE 574 and graduate standing; or permission of instructor Time-varying signal processing methods. The course covers many of the prevalent techniques that have been developed over the years for time-frequency signal analysis and addresses the characteristics and properties of time-frequency representations in Cohen’s fixed kernel class, e.g., the spectrogram and the Wigner distribution. The course covers many time-frequency representations and addresses their performance tradeoffs in applications.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, 597; or permission of instructor Principles and design of sonar systems. Topics include: complex array and element apertures (weighting) functions, and beam shaping; linear, planar, and volumetric arrays; directivity and beam-forming; operating and installation of sonar systems; improving signal-to-noise ratios; wave vector spectrum filtering.
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3.00 Credits
Prerequisites: ECE 521 Theory of neural networks. Topics include learning models, single and multilayer perceptrons, LMS algorithm, back propagation algorithms, radial basis function networks, Hopfield networks and Boltzman machine, self-organizing systems including Hebbian learning, Kohonen feature map algorithm, temporal processing neural networks, biological neural networks, and VLSI implementation.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, 574 Fundamentals of digital image processing. Topics include human vision models, 2-D sampling and quantization, image transforms, image enhancements, color image processing, image restoration, image and video compression, image segmentation by thresholding and region analysis, texture analysis, boundary descriptions, morphological methods, image processing system architecture.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, 574 Common mathematical frameworks in the processing of geophysical, radar, and speech signals are introduced, followed by a study of individual source mechanisms and transmission media. Specific digital filtering, deconvolution, spectral analysis and interference or clutter rejection techniques are discussed. Case studies for effective processing of seismic, radar, and speech signals are also included.
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3.00 Credits
3 hours lecture Prerequisites: ECE 678 or permission of instructor Conditioning and labeling, the facet model, texture models, image segmentation and arc extraction, 3-D shape representation and shape recovery, surface reflection mechanism, shape from shading, range image analysis, stereo vision, 2-D and 3-D motion analysis, non-rigid body motion analysis,relational matching, 3-D object recognition, fundamentals of robot vision, architecture of computer vision systems.
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3.00 Credits
3 hours lecture Prerequisites: ECE 597 Nonlinear acoustic fields and parametric sources. Topics include nonlinear acoustics of fluids, turbulence, underwater explosions as sources of sound, parametric acoustic arrays, finite-amplitude effects, acoustic cavitation, and streaming.
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3.00 Credits
3 hours lecture Prerequisites: ECE 557, 597 An advanced course covering fundamental principles, design, and operation of transducers for the reception and generation of underwater sound using energy analysis methods. Topics include: theory of simple radiators and receivers, electromechanical circuit analogies, impedance functions and equivalent circuits; piezoelectricity; reciprocity; acoustic properties of transducer materials; acoustic motion sensors; pressure gradient sensor designs, and diffractions constants.
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