Sparse Representations in Signal and Image Processing

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Sparse Representations in Signal and Image Processing provided by edX is a comprehensive online course, which lasts for 10 weeks long, 5-6 hours a week. Sparse Representations in Signal and Image Processing is taught by Yaniv Romano, Alona Golts and Michael Elad. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $298.00. Visit the course page at edX for detailed price information.

Overview
Syllabus
  • Courses under this program:
    Course 1: Sparse Representations in Signal and Image Processing: Fundamentals

    Learn about the field of sparse representations by understanding its fundamental theoretical and algorithmic foundations.



    Course 2: Sparse Representations in Image Processing: From Theory to Practice

    Learn about the deployment of the sparse representation model to signal and image processing.