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Course Criteria
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1.00 - 4.00 Credits
Conditions and hours to be arranged Prerequisites: Permission of the instructor, department chairperson, and college dean Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Requires the submission and approval of a detailed proposal that will become part of the student’s file.
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3.00 Credits
3 hours lecture Prerequisites: ECE 490 Production, propagation, and reception of underwater sound. Topics include plane, spherical and cylindrical wave propagation, transmission loss, normal mode theory, waveguides, ray acoustics, active and passive sonar equations, properties of transducers and arrays including transmit and receive sensitivity, beam patterns, directivity, spatial aperture functions and their Fourier transform pairs, equivalent electrical circuits, and calibration of underwater projectors and hydrophones. Cross-listed as ECE 597.
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3.00 Credits
3 hours lecture Prerequisites: Upper level undergraduate standing in engineering or physics Design, modeling, properties, and application of electromechanical piezoelectric transducers and arrays used for underwater acoustic sound, navigation, and ranging. The course focus is on piezoelectric ceramic devices and the use of lumped parameter equivalent electrical circuit analysis. This introductory course will require lectures, laboratory exercises, calibration experiments and class project. Cross-listed as ECE 558.
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3.00 Credits
3 hours lecture Prerequisites: Permission of instructor Advanced analog design techniques with emphasis on using operational amplifiers. Topics include multi-pole transfer functions and stability, noise calculations, interfacing with digital circuits, and specialized analog applications. Problems are solved using numerical and circuit simulation software packages.
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3.00 Credits
3 hours lecture Prerequisites: Probability and random variables; or permission of instructor Random variables and probabilistic description of signals and systems. The course provides the analytical tools for studying random phenomena in engineering systems and provides graduate students with an extensive treatment of probability theory, Bayes theorem, random variables, distribution and density functions, conditional distributions, moments, functions of random variables, characteristic functions, stochastic processes, Gaussian processes, stationary processes, correlation functions, power spectral density, response of systems to random inputs, mean square error estimation, filtering and prediction, and noise analysis. The course prepares students for a wide range of courses in communications, signal processing, acoustics, control, and other areas of engineering in which random signals and systems have an important role.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, ECE 574; or permission of instructor Spectral estimation techniques with particular emphasis on performance/resolution tradeoffs. The course enables participants to understand spectral estimation and acquire a working knowledge of the spectral analysis techniques available, with a critical understanding of the advantages and limitations of all spectral estimation techniques studied. The student learns: (1) the limitations of Fourier transform based spectral estimators; (2) the benefits and limitations of high resolution methods; (3) how to choose accurate and appropriate models; (4) the “state-of-the-art” in modern spectral estimation; (5) how the modern spectral estimators perform in practice; (6) when to select each spectral estimation method.
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3.00 Credits
3 hours lecture Prerequisites: Permission of instructor Solid state device behavior. Among the topics covered are semiconductor fundamentals, p-n junction theory, and both the bipolar and the field effect transistor. Emphasis is placed on those transistor parameters that need to be considered in VLSI and microwave applications.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, ECE 574; or permission of instructor Design, simulation, and implementation of digital filters. After a review of classical FIR and IIR design techniques and modern AR, MA, and ARMA techniques, the course immerses the student in problem solving with digitized signals and DSP microprocessors. These problems include noise reduction, echo cancellation, signal detection, etc. Computer simulation is an integral part of the course, and students are expected to have some familiarity with small computer operating systems and assembly language programming concepts.
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3.00 Credits
3& hours lecture Prerequisites: ECE 336, ECE 384; or permission of instructor Principles and applications of active remote sensing techniques. Course focuses on microwave and millimeter wave radar techniques.& Topics include radar equation, detection theory, scattering from targets and natural surfaces, and imaging systems. The following sensors are covered: synthetic aperture radar (SAR), radar scatterometers, altimeters, polarimetric radars and interferometric radars. Applications include ocean wave and wind measurements, soil moisture measurements, biomass measurements, measurement of land topography, and precipitation studies. Course also includes laboratory computer exercises for analyzing and processing real sensor data.
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3.00 Credits
3& hours lecture Prerequisites: ECE 336, ECE 384; or permission of instructor Principles and applications of passive remote sensing techniques. Course addresses the use of sensors such as thematic mappers, optical multispectral scanners,& infrared radiometers and multispectral microwave radiometers. The following sensors are covered: Thematic Mapper, SPOT, AVHRR, SSM/I and WINDRAD. Applications include ocean color and productivity measurements, ocean temperature measurements, salinity measurements, ocean wind measurements, marine pollution monitoring, and atmospheric measurements. Course also includes laboratory computer exercises for analyzing and processing real sensor data.
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