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  • EE 792: Linear Systems

    3.00 Credits
    Wichita State University

    EE 792. Linear Systems Review of mathematics relevant to state-space concepts. Formulation of state-variable models for continuous-time and discrete-time linear systems. Concepts of controllability, observability, stabilizability, and detectability. Pole placement and observer design. State transformation techniques and their use in analysis and design of linear control systems. Prerequisite: EE 383.
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  • EE 796: Electric Power Distribution

    3.00 Credits
    Wichita State University

    EE 796. Electric Power Distribution (3). Analysis, design, modeling, and simulation of radial medium-voltage electric power distribution systems. Simulations include power flow and short circuit. Prerequisite: EE 598.
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  • EE 810: Optical Networks

    3.00 Credits
    Wichita State University

    EE 810. Optical Networks A comprehensive study of fiber optic communication systems, components, and networks. Subjects include modulation, wavelength division multiplexing, dispersion, single mode and multimode fibers, fiber optic components, optical cross-connects, and SONET rings. Prerequisite: EE 510.
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  • EE 816: Adv Signal Proc Wireless Comm

    3.00 Credits
    Wichita State University

    EE 816. Advanced Signal Processing for Wireless Communication Introduces the role of statistical signal processing in wireless communication and studies various signal processing techniques. Begins with an overview of the fundamentals of wireless communication and physical properties of the wireless channel. Covers topics such as adaptive filtering, interference suppression, space-time processing and MIMO techniques. Corequisites: EE 726 and 754.
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  • EE 817: Theo Dectn & Estm

    3.00 Credits
    Wichita State University

    EE 817. Theory of Detection and Estimation Introduces students to the fundamental ideas of detection and estimation theory. Some of the topics covered include binary hypothesis testing, potimal signal detection, performance analysis of optimum detectors, elements of parameter estimation and signal estimation. These ideas are basic to statistical signal processing and communication transceiver design. Prerequisite: EE 754.
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  • EE 826: Digtal Comm Systems 2

    3.00 Credits
    Wichita State University

    EE 826. Digital Communication Systems II Studies modern digital communication systems. Discusses topics such as carrier and symbol synchronization techniques; fading multipath channels; frequency-hopped spread spectrum systems; smart antenna array systems; space time codes (STC); space-time block codes (STBC); multi-input multi-output (MIMO); orthogonal frequency division multiplexing (OFDM) systems; and multi carrier code division multiple access (MC-CDMA) communication. Prerequisite: EE 726.
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  • EE 845: Adaptive Filters

    3.00 Credits
    Wichita State University

    EE 845. Adaptive Filters Concerned with estimating a signal of interest or the state of a system in the presence of additive noise, but without making use of prior statistical characteristics of the signal nor the noise. Concerned with the design, analysis, and application of recursive filtering algorithms that operate in an environment of unknown statistics. Content includes least mean-square (LMS) filters, recursive least-square (RLS) filters, and recursive least-squares lattice (LSL) filters. All are adaptive and self-designing. Includes concepts of convergence, tracking ability, and robustness. Prerequisite: EE 754.
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  • EE 856: Information Theory

    3.00 Credits
    Wichita State University

    EE 856. Information Theory (3). Introduction to information theory for students of communication theory, computer science, and statistics. Introduces the definitions of entropy, relative entropy, and mutual information. Discusses asymptotic equipartition property, entropy rates of a stochastic process, channel capacity, differential entropy, and gaussian channel. Prerequisite: EE 754.
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  • EE 864: Multi-Service Over IP

    4.00 Credits
    Wichita State University

    EE 864. Multi-Service Over IP (4). 3R; 1L. Advanced networking course; deals with challenges and solutions associated with sending voice, video, and data (multi-service) over IP. Includes telephony signaling, call routing and dial plans, measuring voice quality, voice digitization and coding, quality of service issues, and current research. Hands-on lab allows students to design, troubleshoot, and test different VOIP scenarios. Prerequisite: CS 764.
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  • EE 876: MS Thesis

    1.00 - 6.00 Credits
    Wichita State University

    EE 876. MS Thesis Repeatable for credit toward the MS thesis option up to 6 hours. Graded S/U only. Prerequisite: prior consent of MS thesis adviser.
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