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Course Criteria
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3.00 Credits
Description: Linear transformations and linear optimization as applied to vector spaces. Topics include solution of linear algebraic equations, linear transforms and their matrices, system decomposition (diagonalization), nondiagonalization operators and Jordan form, inner products, orthogonal projection, and pseudoinverse. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Discrete and continuous random variables, conditional and joint distributions, random vector and stochastic processes, correlation and spectra of stationary processes under linear transformations, smoothing and prediction in mean square estimation. Prerequisite: Background in statistics and probability. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Concepts and techniques of reliability evaluation at both the component and systems levels. The material will be useful to engineers in any discipline who are involved in system design or system performance/safety evaluation. Topics: reliability function, hazard rates, MTTF; component reliability, reliability network modeling; decomposition, cut set/tie set, event space, and fault-free approaches to reliability evaluation; systems with repair, Markov process models, availability, frequency and duration concepts, MTBF; approximations to systems reliability; introduction to software reliability. Prerequisites: Background in probability theory or permission of instructor. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Discrete time signals and systems, Z-transform, discrete Fourier transform, fast Fourier transform algorithms, design of digital filters in both time and frequency domains. Computer-aided design of digital filters. Prerequisite: Background in signals and systems theory. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Fundamentals of digital image processing covering both analytical and practical foundations of working with 2-D images. Topics: digital image acquisition and definitions, image transforms, enhancement, restoration, and segmentation; electronic imaging and color; image encoding, compression, and graphic file formats; morphological processing. Computer projects implement classroom techniques and modern software tools are discussed. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Numerical algorithms with an emphasis on engineering and scientific applications. Topics: matrix computations, optimization methods, singular value decomposition, Choleski, simplex and conjugate gradient methods. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: Graduate Engineering level ECE 8007 Minimum Grade of C and Graduate Engineering level ECE 8473 Minimum Grade of C
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3.00 Credits
Description: Issues, algorithms and standards for the representation storage, and transmission of multimedia signals, including: low bit rate coding (e.g. JPEG, JEPEG2000) for still images, and MPEG-1, 2, 4 and 7 for digital video compression; audio compression via MP3 and H.261 video conferencing standard; multimedia content protection through digital watermarking, authentication by data hiding, encryption, content-based search and retrieval, multimedia communications over DSL and other broadband networks. Commercial and consumer multimedia products and systems. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: Graduate Engineering level ECE 8072 Minimum Grade of C
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3.00 Credits
Description: Sensor array processing; Fourier-based, maximum likelihood, and high resolution angle of arrival estimation methods, narrowband and broadband array signal processing, coherent interference nulling and multipath problems, robust and constrained adaptive beamforming; smart antenna systems for cellular communications; switched beam antennas, spatial diversity, and fully adaptive antennas for improved coverage and range; uplink processing; low and high rank propagation channel models; spatial and temporal information for improved frequency reuse; CMA array, subspace methods, and blind equalization. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Analysis and design of controllers for dynamic systems in both frequency domain and time domain. Topics extend over both classical and state space approaches; Bode, Nyquist, and Root locus designs; extensive usage of MATLAB and practical applications. Prerequisite: Undergraduate Background in System & Control 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Basics needed by engineers in the design of automation and motion control. Topics: actuators, sensors, robot fundamentals, path control, and the Forth language together with its application to real-time motion control. Laboratory work is part of the course and leads to a complete robot-based job project. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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