mirror of
https://gitlab.ewi.tudelft.nl/ee2l1/2025-2026/A.K.03.git
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better structure
This commit is contained in:
Thijs Driessen
Nicholas Stănescu
parent
12cabf65ea
commit
cb1c787b43
8
.idea/.gitignore
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vendored
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.idea/.gitignore
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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.idea/A.K.03.iml
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.idea/A.K.03.iml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/.venv" />
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</content>
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<orderEntry type="jdk" jdkName="Python 3.13 (A.K.03)" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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<component name="PyDocumentationSettings">
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<option name="format" value="PLAIN" />
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<option name="myDocStringFormat" value="Plain" />
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</component>
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</module>
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.idea/inspectionProfiles/profiles_settings.xml
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.idea/inspectionProfiles/profiles_settings.xml
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="Black">
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<option name="sdkName" value="Python 3.13 (A.K.03)" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13 (A.K.03)" project-jdk-type="Python SDK" />
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</project>
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.idea/modules.xml
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.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/A.K.03.iml" filepath="$PROJECT_DIR$/.idea/A.K.03.iml" />
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</modules>
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</component>
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</project>
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.idea/vcs.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="" vcs="Git" />
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</component>
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</project>
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"# Table of Contents\n",
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"\n",
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"\n",
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@ -28,7 +28,7 @@
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"\n",
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"Appendix B: [Serial Communication with Windows](appendix/Appendix_B.md)\n",
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"\n",
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"Appendix C: [TDOA Localization Algorithm](appendix/Appendix_C.ipynb)\n"
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"Appendix C: [TDOA Localization Algorithm](../appendix/Appendix_C.ipynb)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)"
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]
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},
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@ -30,8 +30,8 @@
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"## Initial software Installation\n",
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"Before we can start doing anything, you need to set up your programming environment in Python. We have provided a step by step guide that walks you through installing Python, Visual Studio Code, and all the necessary dependencies for your project. You can find them here:\n",
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"\n",
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"1. [Installation Mac](appendix/0_Installation_Mac.ipynb)\n",
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"2. [Installation Windows](appendix/0_Installation_Windows.ipynb)"
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"1. [Installation Mac](../appendix/0_Installation_Mac.ipynb)\n",
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"2. [Installation Windows](../appendix/0_Installation_Windows.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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@ -314,7 +314,7 @@
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"### Student Version ###\n",
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"\n",
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"# Load and normalize the reference signal\n",
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"Fs_ref, ref_signal = wavfile.read(\"Files/Student Recordings/reference.wav\")\n",
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"Fs_ref, ref_signal = wavfile.read(\"../files/Student Recordings/reference.wav\")\n",
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"ref_signal = ref_signal[221000:222500, 0] # Use only one channel\n",
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"# TODO: Normalize the reference signal\n",
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"\n",
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@ -638,7 +638,7 @@
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"\n",
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"We offer two approaches for this:\n",
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"\n",
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"1. **Linear Algebra Approach:** Study [Appendix C](appendix/Appendix_C.ipynb), which shows a basic algorithm to solve for $(x, y)$ using linear algebra. This algorithm is sub-optimal but should be relatively fast, and is a nice illustration of the use of linear algebra (for those who appreciate this).\n",
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"1. **Linear Algebra Approach:** Study [Appendix C](../appendix/Appendix_C.ipynb), which shows a basic algorithm to solve for $(x, y)$ using linear algebra. This algorithm is sub-optimal but should be relatively fast, and is a nice illustration of the use of linear algebra (for those who appreciate this).\n",
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"\n",
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"2. **Grid Search Method:** Perform a grid search over possible $(x, y)$ positions and evaluate which position best matches the estimated TDOAs. This method can be accurate but may be slower depending on implementation. Consider e.g. iterative grid refinement.\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"\n",
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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@ -283,7 +283,7 @@
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"\n",
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"The figure below is a example depiction of the Challenges (*On the old television series, KARR is the archenemy of KITT*)\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n"
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]
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@ -1 +0,0 @@
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Subproject commit eb982ad8ab46ed773d72e1e79597b23fc5e2ebba
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0
student_code/distance_sensor.py
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0
student_code/distance_sensor.py
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