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Course Criteria
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3.00 Credits
Prerequisites: ENEE 3572. Engineering applications of probability theory. Problems on events, independence, random variables, distribution and density functions, expectations, and characteristic functions. Dependence, correlation, and regression; multi-variate Gaussian distribution. Stochastic processes, stationarity, ergodicity, correlation functions, special densities, random inputs to linear systems; Gaussian processes.
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3.00 Credits
Prerequisite: ENEE 4572. A study of the mathematical theory of communications. Noise and channel information rate. Theoretical and practical limits on channel capacity for various modulation schemes.
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3.00 Credits
Prerequisite: ENEE 6533. A study of linear optimum filtering including Wiener Filters and Kalman Filters; linear FIR adaptive filtering using method of steepest descent and recursive least squares; fast recursive algorithms and fast transversal filters.
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3.00 Credits
Prerequisite: ENEE 4535. Advanced topics in digital signal processing including: short- and long-term data processing, linear prediction analysis, cepstral analysis, coding and feature enhancement, speech recognition, dynamic time warping, hidden Markov model and time-adaptive processing.
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3.00 Credits
Prerequisite: ENEE 6530 and 6533. Review of matrix algebra probability and random processes; maximum likelihood estimation; maximum a posteriori estimation; least squares estimation; minimum mean square error estimation; unibiasedness efficiency and consistency; Kalman filter; linear smoothing; nonlinear estimation; elements of adaptive estimation.
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3.00 Credits
Prerequisite: ENEE 6533. Neyman-Pearson hypothesis testing; Bayes tests; minimax tests; sequential probability ratio test; optimal and locally optimum detectors; noise models for detection; detection of known signals; detection of random signals; performance evaluation of detectors.
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3.00 Credits
Prerequisites: credit or concurrent registration in ENEE 4542. Properties of III-V and II-VI compound semiconductors, operating principles of compound semiconductor devices including transferred electron devices, heterostructure field effect transistors, heterostructure bipolar transistors, and tunneling devices.
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3.00 Credits
Prerequisite: ENEE 4542. Modeling of semiconductor devices, modeling of equilibrium and non-equilibrium transport phenomena of charge carriers in semiconductors and semiconductor devices, Monte Carlo simulation, balance equations, and numerical simulation of submicron devices using balance equations and Monte Carlo method.
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3.00 Credits
Prerequisites: credit or concurrent registration in ENEE 4542. A study of kinetic and hydrodynamic transport theories in semiconductors and devices. Scattering processes in semiconductors, and equilibrium and non-equilibrium transport models including the drift-diffusion theory, hydrodynamic transport model, and Boltzmann transport equation.
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3.00 Credits
Prerequisites: credit or concurrent registration in ENEE 4542. Quantum mechanics of semiconductors, energy band theory, semiconductor statistics, electronic and optical properties of semiconductors, and their applications to semiconductor devices.
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