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Spring 2015: MATH 858R / AMSC 808R Sparse and Low Rank Representations: Analytical Methods and Industrial Applications



Instructor:
Radu Balan
  • Email: rvbalan at math.umd.edu
  • Office: Math building 2308 ; Phone: 301 405 5492
  • Office: CSCAMM (CSIC building) 4131 ; Phone: 301 405 1217

Lectures: 9.30am-10.45am on Tuesdays, Thursdays, in EGR 1110.

Office Hour: by appointment.

Assignments: Homework must be submitted on the date assigned. Homework must be prepared without consulting any other person. You may however consult any written reference. In this case you should cite the reference. Results taken from the reference should be (re)stated to the notation used in the course. Explanation should be given in complete English sentences. Written work must be legible and clear.

Description: MATH 858R / AMSC 808R is a topics course in applied harmonic analysis and statistics discussing topics such as sparse representations, model selection, signal processing applications.

Grading: 25% Homeworks ; 25% Final Exam ; 50% Project/Report/Presentation

References: List of papers posted on Canvas. See also here.