@@ -21,6 +21,7 @@ However, to make our contribution easier to distinguish from the PALA framework,
...
@@ -21,6 +21,7 @@ However, to make our contribution easier to distinguish from the PALA framework,
## Data Retrieval
## Data Retrieval
The simulation “In Silico” OPULM PALA dataset is publicly available at: https://zenodo.org/records/4343435. To reproduce the augmented data used in Figure 3 of the paper, one can run the code located in the AugmentedInSilico/GenSilicoAug directory. Alternatively, the pre-generated augmented datasets for various signal-to-noise ratios (SNRs, in dB) are available in the corresponding SilicoData_*dB folders.
The simulation “In Silico” OPULM PALA dataset is publicly available at: https://zenodo.org/records/4343435. To reproduce the augmented data used in Figure 3 of the paper, one can run the code located in the AugmentedInSilico/GenSilicoAug directory. Alternatively, the pre-generated augmented datasets for various signal-to-noise ratios (SNRs, in dB) are available in the corresponding SilicoData_*dB folders.
The supplementary data to PALA, used for figures 2, 5, and 7 of the paper, can be accessed at: https://zenodo.org/records/7883227. The IQ data can be retrieved from the hdf5 files by using the following Matlab code:
The supplementary data to PALA, used for figures 2, 5, and 7 of the paper, can be accessed at: https://zenodo.org/records/7883227. The IQ data can be retrieved from the hdf5 files by using the following Matlab code:
```
```
data = h5read(strcat(PALA_data_folder,'IQ_001.hdf5'),'/iq');
data = h5read(strcat(PALA_data_folder,'IQ_001.hdf5'),'/iq');