Compressive sensing algorithms for recovery of sparse and low rank signals

• المؤلف الرئيسي: Mukund Sriram Narasimhan
• مؤلفون آخرون: Anamitra Makur
• التنسيق: Thesis-Master by Research
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145980

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...