This repository has the main propuse to analyse Passive Sonar Signals with Machine Learning Algorithms and other staff

1 - First clone the package lastest version

$ git clone https://github.com/natmourajr/SonarAnalysis.git

2 - Go to package folder

$ cd SonarAnalysis

3 - This package works with a couple of Environment Variables, to change their values, do

$ vim setup.sh

Edit $SONAR_WORKSPACE = analysis path, where the magic happens

4 - After change Environment variables, do

$ source setup.sh

5 - After change Environment variables, do

$ cd Packages

6 - In Signal Processing Lab machines, run matlab with ReadRawData command to generate RawData Files

$ matlab -nodesktop -r ReadRawData

7 - In Signal Processing Lab machines, run matlab with LofarAnalysis command to generate LofarData Files

$ matlab -nodesktop -r LofarAnalysis

8 - In Signal Processing Lab machines, run matlab with LofarAnalysis command to generate LofarData Files

$ python ReadLofarData.py

9 - After run these two Matlab scripts, the two new matlab files should be in $OUTPUTDATAPATH, to check it

$ ls $OUTPUTDATAPATH

10 - Some libraries are necessary, to install them do

$ cd $SONAR_WORKSPACE

11 - In this version, all analysis will be produce in Python. I suggest create a virtualenv and upgrade pip (to update pip)

$ pip install --upgrade pip

12 - In this version, all analysis will be produce in Python. I suggest create a virtualenv and install all libraries listed in requirements.txt

$ pip install -r requirements.txt

Obs: To update all packages

$ pip freeze --local | grep -v '^\-e' | cut -d = -f 1  | xargs pip install -U

13 - Now you can go to Packages folders and access all analysis

$ cd Packages

14 - To access a specific analysis, do

$ cd <Specific Analysis Name>

15 - Run a specific setup.sh

$ source setup.sh

16 - And

$ jupyter notebook