Course Schedule and Catalog
Course Schedule - Spring Semester 2017
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
CAAM 567 002 (CRN: 24338)
SIGNAL RECOVERY
Long Title: SIGNAL RECOVERY: THEORY AND SIMULATION
Department: *Computational & Applied Math*
Instructor: Hand, Paul
Meeting: 4:00PM - 5:15PM TR (9-JAN-2017 - 21-APR-2017)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 40
Section Enrolled: 16
Enrollment data as of: 4-NOV-2025 2:47AM
Final Exam: GR Course-Dept Schedules Exam
Description: This course introduces the theory and numerical algorithms for several fundamental signal recovery tasks. Topics include L1 minimization, sparse regression, compressed sensing, orthogonal matching pursuit, proximal operators, ADMM algorithms, Iterative Reweighted Least Squares. Nuclear norm minimization, matrix completion, robust Principal Component Analysis. Recommended Prerequisite(s): CAAM 378 or MATH 302 or STAT 310.