brahim 75eeac0310 The acoustic data tab has been updated, and the variables in the settings python file have been modified: all are python lists, allowing you to work with multiple acoustic data. Each list are filled with object with as many object as there are acoutic data. 1/ File list widget is added to add/clear/delete buttons. Measurement information is displayed in a scrolling text box. Table of backscatter values is added. Limits of dataset in display option box are displayed with double slider. Limits of dataset are displayed in Display options box with double sliders. Double sliders are also used for river bottom detection.

2024-03-27 17:36:48 +01:00

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__init__.py

First commit of View file

2023-07-27 12:07:40 +02:00

acoustic_data_tab.py

The acoustic data tab has been updated, and the variables in the settings python file have been modified: all are python lists, allowing you to work with multiple acoustic data. Each list are filled with object with as many object as there are acoutic data. 1/ File list widget is added to add/clear/delete buttons. Measurement information is displayed in a scrolling text box. Table of backscatter values is added. Limits of dataset in display option box are displayed with double slider. Limits of dataset are displayed in Display options box with double sliders. Double sliders are also used for river bottom detection.

2024-03-27 17:36:48 +01:00

acoustic_inversion_tab.py

Acoustic inversion process is updated with the new names of variables.

2024-02-14 15:09:46 +01:00

checkable_combobox.py

Investigations with inversion method (for high concentrations) have been performed with APAVER 2021 data from UBSediFlow system.

2024-01-12 16:20:08 +01:00

mainwindow.py

First commit of View file

2023-07-27 12:07:40 +02:00

note_tab.py

Acoustic inversion method for high concentration is implemented. It is tested with Aquascat data acquired during Adrien PhD (Confluence Rhône-Isère, 2018.01.07)

2023-11-28 15:42:29 +01:00

sample_data_tab.py

Acoustic inversion method for high concentration is implemented. It is tested with Aquascat data acquired during Adrien PhD (Confluence Rhône-Isère, 2018.01.07)

2023-11-28 15:42:29 +01:00

signal_processing_tab.py

Computing noise from a value is implemented in signal pre-processing tab.

2024-02-14 17:06:52 +01:00

user_manual_tab.py

First commit of View file

2023-07-27 12:07:40 +02:00