Cryptography and SecurityAlgebraic and number theory approaches to cryptographic techniques, information security, secret key and public key encryption, signature schemes, hash functions, message authentication, and key distribution. Credit not allowed for both ECE 6280 and CS 6260.
Fundamentals of Digital Signal ProcessingIntroduction to Digital Signal Processing. Sampling Theorem,Discrete-time
Fourier transform,power spectrum,discrete Fourier transform and the FFT
algorithm,z-Transform, digital filter design and implementation.
Design Synthesis of Application-Specific Signal ProcessorsFundamentals of theory and practice of DSP chip design in VHDL. Exposure
to tools and environments for chip design, simulation, and verification.
Radar ImagingAn in depth study of digital signal processing methods for Synthetic Aperture Radar (SAR) image formation. Methods are also applicable to sonar.
Digital Image ProcessingAn introduction to the fundamentals and the theory of multidimensional signal processing and digital image processing, including key applications in multimedia products and services including machine learning
Fundamentals of Radar Signal ProcessingSignal modeling including radar cross section, multipath, and
clutter. Properties of the ambiguity function and coded waveforms.
Algorithms for doppler processing, detection, and radar imaging.
Random Signals and ApplicationsIntroduction to random signals and processes with emphasis on applications in ECE. Includes basic estimation theory, linear prediction, and statistical modeling.
Advanced Digital Signal ProcessingAn introduction to advanced signal processing methods that are
used in a variety of application areas.
Digital Processing of Speech SignalsThe application of digital signal processing to problems in speech
communication. Part of this goal requires a laboratory project.
Data Compression and ModelingTheory and algorithms of signal encoding and decoding for data compression. Applications in information systems, digital telephony, digital television, and multimedia Internet.
DSP Software Systems DesignSpecification, evaluation, and implementation of realtime DSP applications
on embedded DSP-based environments.
Medical Imaging SystemsA study of the principles and design of medical imaging systems such
as X-ray, ultrasound, nuclear medicine, and nuclear magnetic
resonance. Cross-listed with BMED 6786.
DSP Hardware Systems DesignA study of theory and practice in the design and implementation of
DSP algorithms on programmable processors, multiprocessors, and
Methods of Pattern Recognition with Application to VoiceTheory and application of pattern recognition with a special
application section for automatic speech recognition and related
Advanced Signal Processing TheoryA lecture and seminar treatment of the latest developments in signal
processing. Emphasis is placed on current literature and emerging
Medical Image ProcessingA study of methods for enhancing, analyzing, interpreting and
visualizing information from two- and three-dimensional data
obtained from a variety of medical imaging modalities. Cross-listed
with CS and BMED 6780.
Spatial Array ProcessingIntroduce application areas where signals are sampled over space and time.
Transfer knowledge of time-based techniques to spatial processing.
Develop algorithms unique to spatial processing.
Signal Detection and EstimationDetection theory and estimation theory and their application to
communications and statistical signal processing problems.
Introduction to Probability and Statistics for ECEIntroduction to probability, random variables, distributions, estimation, confidence intervals, linear regression and other tools for describing and managing uncertainty in electrical and computer engineering.
Introduction to Signal ProcessingIntroduction to discrete-time signal processing and linear systems. Sampling theorem. Filtering. Frequency response. Discrete Fourier Transform. Z Transform. Laboratory emphasizes computer-based signal processing.
Applications of Digital Signal ProcessingApplications of DSP in speech, image processing, radar, pattern
recognition, and adaptive filtering requiring working software
implementations applied to the analysis of real signals.
Statistical Digital Signal Processing and ModelingIntroductory course in digital signal processing, and includes the
following topics: Signal Modeling, Optimum Filters, and Power Spectrum
Adaptive FilteringBasic theory of adaptive filter design and implementation.
Steepest descent, LMS algorithm, nonlinear adaptive filters, and
neural networks. Analysis of performance and applications.