Compressive sensing algorithms for recovery of sparse and low rank signals

• Main Author: Mukund Sriram Narasimhan
• Other Authors: Anamitra Makur
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/145980
• Institution: Nanyang Technological University

Many natural signals are atomic, i.e., the signals may be represented in some low dimensional space due to their inherent structure. Two most common atomic structures are sparsity and low rank. A sparse signal (vector/matrix) has very few nonzero entries. A low rank matrix has very small rank in c...