Abstract
This work treats the performance evaluation of p-based algorithms, such as l(1), l(2), and l(4). Moreover, a variable weight mixed-norm l(2)-l(4) algorithm is also included in this study and shown to result in a better performance than each of the l(2) and l(4)-based algorithms. The performance evaluation is carried out for noise with uniform distribution and Gaussian distribution. Detailed simulations are performed to assess the behavior of these algorithms under these noise environments.