This MATLAB toolbox contains several implementations of some well-known sparse recovery algorithms, including ISP [1], IPP [2], SL0 [3].

References:

[1] M. Sadeghi and M. Babaie-Zadeh, “Iterative sparsification-projection: Fast and robust sparse signal approximation,” IEEE Transactions on Signal Processing, vol. 64, no. 21, pp. 5536-5548, November 2016.

[2] F. Ghayem, M. Sadeghi, M. Babaie-Zadeh, S. Chatterjee, M. Skoglund, and C. Jutten, “Sparse Signal Recovery Using Iterative Proximal Projection,” IEEE Transactions on Signal Processing, vol. 66. no. 4, pp. 879-894, February 2018.

[3] H. Mohimani, M. Babaie-Zadeh, and C. Jutten, “A fast approach for overcomplete sparse decomposition based on smoothed L0 norm,” IEEE Transactions on Signal Processing, vol. 57, no. 1, pp. 289-301, January 2009.

Mostafa Sadeghi

Email: [email protected]