A method for magnetotelluric data processing based on sparsity adaptive stage-wise orthogonal matching pursuit

This is the origin MATLAB implementation of SAStOMP in the following paper: A method for magnetotelluric data processing based on sparsity adaptive stage-wise orthogonal matching pursuit

function

	-Run deal_data.m to see example
	-deal_sp.m for data denoise
	-framing.m for data segmentation
	-Fuzzy_entropy_my.m for calculate fuzzy entropy
	-generate_dic1.m for dictionary generate
	-linear_ovladd.m for recovery
	-SAStOMP.m for SAStOMP sparse representation
	-spdiag.m for sparse diagonal metrices
	-normcols for dictionary normalization
	-stimulate_signal.mat is the simulated signals

Citation

If you find this repository useful in your research, please consider citing the following paper:

@inproceedings{SAStOMP-MT-2022,
    author    = {Jin Li and
               Shanshan Liu and
               Yiqun Peng and
               Jingtian Tang and
               Xian Zhang and
	       Yong Li},
    journal   = {Journal of Applied Geophysics},
    title     = {A method for magnetotelluric data processing based on sparsity adaptive stage-wise orthogonal matching pursuit},
    volume    = {198},
    year      = {2022},
}

Contact

If you have any questions, feel free to contact Jin Li through Email (geologylj@163.com) or Github issues. Pull requests are highly welcomed!