Underwater Acoustics, Signal Processing and Imaging
ACS 511 - Underwater Sound Propagation - Theoretical and empirical treatment of sound propagation in
the ocean, including effects of the environment, characteristics of targets, and transducers.
ACS 512 - Sonar Engineering - Theoretical and empirical treatment of problems related to the use of
underwater sound in target detection and ranging.
ACS 513 - Digital Signal Processing - Discrete linear systems, transforms, digital filter design and
applications, discrete Fourier transforms, spectrum analysis.
ACS 518 - Adaptive Signal Processing - Basic concepts and application of adaptive signal processing
techniques; adaptive filters beamformers; optimum space/time processors and their adaptive implementation;
adaptive algorithms.
BIOE 506 - Medical Imaging - Medical diagnostic imaging techniques, including generation and
detection of X-ray, ultrasound, magnetic resonance, and nuclear radiation; instrumentation and biological
effects.
BIOE 516 - Ultrasonic Imaging - Advanced topics and recent developments in ultrasonic imaging.
EE 459 - Introduction to Statistical Theory of Communications - Review of probability theory; random
processes and their spectral characterization; linear systems with random inputs; optimum linear systems including
matched filters; fundamentals of binary digital communications.
EE 530 - Adaptive and Learning Systems - Adaptive and learning control systems; system identification;
performance indices; gradient, stochastic approximation, controlled random search methods; introduction to pattern
recognition.
EE 557 - Multidimensional Signal Processing - Multidimensional sampling, weak causality, recursibility,
multidimensional transforms, stability, global and local state-space models, multidimensional filters, and
multidimensional spectrum estimation.
EE 560 - Probability, Random Variables, and Processes - Review of probability theory and random
variables; random vectors; random processes; systems with random inputs and the power spectrum; applications.
EE 561 - Information Theory - Mathematical measurement of information; information transfer in
discrete systems; redundancy, efficiency, and channel capacity; encoding systems.
EE 562 - Detection and Estimation Theory - Detection decision theory, Bayes and Neyman-Pearson criteria,
optimal receivers, classical estimation theory, signal-noise representations, optimum linear signal parameters estimation.
GEOSC 504 - Multi-Dimensional Signal Processes - Methods of signal enhancement and detection for problems
in one, two, or three space dimensions and multichannel arrays of time series. Applications covered include potential
fields, remote sensing imagery, and seismic arrays.
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