On the performance comparisons of several sparse reconstruction algorithms

It is hard to choose one appropriate sparse reconstruction algorithm from multiple existing algorithms in different occasions. Being aware of this difficulty, four typical sparse reconstruction algorithms are studied to present comprehensive performance evaluations in terms of reconstruction accuracy, super-resolution ability and noise immunity, and it is found that the BCS algorithm performs best in noise immunity, while the Lp-norm algorithm has an outstanding performance in super-resolution ability.