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MS/PhD CURRICULA


SIGNAL and IMAGE PROCESSING



Curriculum Advisor

Dr. Bhaskar Rao

(858) 534-6186

EBU1 6403

 

The signal and image processing program explores engineering issues related to the modeling of signals starting from the physics of the problem, developing and evaluating algorithms for extracting the necessary information from the signal, and the implementation of these algorithms on electronic and opto-electronic systems. Specific research areas include filter design, fast transforms, adaptive filters, spectrum estimation and modeling, sensor array processing, image processing, motion estimation from images, and the implementation of signal processing algorithms using appropriate technologies with applications in sonar, radar, speech, geophysics, computer-aided tomography, image restoration, robotic vision, and pattern recognition.


Course Requirements

  • Core Coursework (sixteen units):

ECE 250

Random Processes

ECE 251 AN

Digital Signal Processing I

ECE 251 CN

Filter Banks and Wavelets

ECE 253 A

Fundamentals of Digital Image Processing

  • Select three additional courses (twelve units) from the following:

ECE 251 BN

Digital Signal Processing II

ECE 251 DN

Array Processing

ECE 252 A

Speech Compression

ECE 252 B

Speech Recognition

ECE 254

Detection Theory

ECE 255 AN

Information Theory

ECE 255 BN

Source Coding I

ECE 271 A-B

Statistical Learning I and II

ECE 273

Convex Optimization and Applications

ECE 275 A-B

Parameter Estimation I - II

  • Technical Electives (twenty units):
Students must take technical electives to complete the total of forty-eight units required.

These electives must be chosen among graduate Engineering, MATH, and PHYS courses and approved by the advisor.

Students may select up to twelve units at the 100-level courses to satisfy the technical elective requirement.

Students may count no more than eight units of ECE 299 towards their technical elective requirement.



Please note that all planned coursework, especially technical electives should be discussed with your advisor before enrollment, performing more research, etc.
 

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