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readme.md file for generated_undersampled folder in sharepoint

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+ # Generated Undersampled PCM Example Data
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+
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+ The files in this directory contain
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+ some undersampled PCM data generated from selected example ground-truth data
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+ in `photocurrent_data` folder.
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+ These files are intended for quick testing and comparison of algorithms
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+ so that every test can use the same undersampled data.
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+
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+ Currently the structure is as follows:
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+
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+ ```
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+ generated_undersampled
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+ └── <randomisation-scheme>_random
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+ └── <data-name>_<randomisation-scheme>
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+ └── trial_<trial-index>
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+ └── zero_filled
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+ └── <data-name>_sample_<sampling_percentage>_percent_coarse_J=<coarse-J>_<randomisation-scheme>_random.npy
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+ ```
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+
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+ Where:
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+
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+ - `<randomisation-scheme>` is one of `uniform` or `multilevel`
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+
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+ - `<data-name>` is the name of the ground-truth data,
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+ for example `example_CIGS_256x256`
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+
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+ - `<trial-index>` is an integer index for different random trials
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+
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+ - `<sampling_percentage>` is the percentage of samples taken in the undersampling, for example `20.0` for 20%
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+
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+ - `<coarse-J>` is the number of coarse samples taken in the J dimension, for example `6`
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+
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+
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+ The `.npy` files in the `zero_filled` folder contain the forward output of the generated undersampled PCM data.
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+ The undersampled measurement PCM data can be computed from this using the inverse WHT.