Sparse Representations in Signal and Image Processing

edX MOOC / Non-credit USD 268.2

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Sparse Representations in Signal and Image Processing

About this course

This course explores the application of sparse representations in the fields of signal and image processing. Participants will learn about the mathematical techniques used to efficiently capture and represent data, ultimately enhancing their understanding of various algorithms and their implementation. By focusing on the principles of sparsity, students will gain insights into how to improve image and signal analysis processes.