Tutorials and updated codes for the research paper: H. Mohammadigheymasi et al., "Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3141580. SP-TFF has been tested using several operating systems (Macintosh, Unix, and PC), and it should run on all platforms that support MATLAB. I will constantly update this repo to make them easier to use and understand. Brief Introduction: SP-TFF code package aims to present a methodology for high-resolution polarization analysis and filtering of seismic signals in the TF-domain. The main developments in this research work are: (a) reformulation of the eigenvalue decomposition polarization analysis (EDPA) in TF-domain, (b) combining the SP-TFR to the formulation to obtain high-resolution TF-domains polarization parameters for discriminating nearby seismic phases, and (c) incorporating TF-domain directivity, rectilinearity, and amplitude attributes to extract (or eliminate) different seismic phases. The main focus is to discriminate between Love and Rayleigh from the body and coda waves. Contents of this repo The synthetic and real example of the "Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain" are reproducible. A fast and efficient code for sparsity-promoting time-frequency representation (SP-TFR) is presented. Running the synthetic and real examples Run POL_Synthetic_main.m and POL_Real_main.m codes Citation If you use the SP-TFF codes in your research, please cite: Hamzeh Mohammadigheymasi, Paul Crocker, Maryam Fathi, Eduardo Almeida, Graca Silveira, Ali Gholami, and Martin Schimmel. (2022). Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain. IEEE transaction in Geoscience and Remote sensing journal, DOI:10.1109/TGRS.2022.3141580. Advantages of this work SP-TFF is a method for separating not only the Rayleigh waves from the Love waves, but also in discriminating them from the body and coda waves.