Studying biomedical image analysis techniques including image enhancement, analysis, classification, and interpretation for medical decision-making through practicals and projects. Cross-listed with BMED6780.
An introduction to the theory of statistical learning and practical machine learning algorithms with applications in signal processing and data analysis.
A 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.
Introduce 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.
Theory and algorithms of signal encoding and decoding for data compression. Applications in information systems, digital telephony, digital television, and multimedia Internet.
Signal modeling including radar cross section, multipath, and
clutter. Properties of the ambiguity function and coded waveforms.
Algorithms for doppler processing, detection, and radar imaging.
An 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
Algebraic 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.
Basic theory of adaptive filter design and implementation.
Steepest descent, LMS algorithm, nonlinear adaptive filters, and
neural networks. Analysis of performance and applications.