Merge branch 'Module1' into 'main'

better structure

See merge request ee2l1/2025-2026/A.K.03!1
This commit is contained in:
Nicholas Stănescu 2025-11-19 15:56:04 +01:00
commit 953224d35d
19 changed files with 64 additions and 17 deletions

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# Default ignored files
/shelf/
/workspace.xml
# Editor-based HTTP Client requests
/httpRequests/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/.venv" />
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<orderEntry type="sourceFolder" forTests="false" />
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<option name="format" value="PLAIN" />
<option name="myDocStringFormat" value="Plain" />
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</module>

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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/A.K.03.iml" filepath="$PROJECT_DIR$/.idea/A.K.03.iml" />
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<?xml version="1.0" encoding="UTF-8"?>
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<mapping directory="" vcs="Git" />
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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"# Table of Contents\n",
"\n",
"\n",
@ -28,7 +28,7 @@
"\n",
"Appendix B: [Serial Communication with Windows](appendix/Appendix_B.md)\n",
"\n",
"Appendix C: [TDOA Localization Algorithm](appendix/Appendix_C.ipynb)\n"
"Appendix C: [TDOA Localization Algorithm](../appendix/Appendix_C.ipynb)\n"
]
},
{

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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)"
]

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@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"[Table of Contents](0_Table_of_Contents.ipynb)"
]
},
@ -30,8 +30,8 @@
"## Initial software Installation\n",
"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",
"\n",
"1. [Installation Mac](appendix/0_Installation_Mac.ipynb)\n",
"2. [Installation Windows](appendix/0_Installation_Windows.ipynb)"
"1. [Installation Mac](../appendix/0_Installation_Mac.ipynb)\n",
"2. [Installation Windows](../appendix/0_Installation_Windows.ipynb)"
]
},
{

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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)\n",
"\n",

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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)\n",
"\n",

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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)\n",
"\n",
@ -314,7 +314,7 @@
"### Student Version ###\n",
"\n",
"# Load and normalize the reference signal\n",
"Fs_ref, ref_signal = wavfile.read(\"Files/Student Recordings/reference.wav\")\n",
"Fs_ref, ref_signal = wavfile.read(\"../files/Student Recordings/reference.wav\")\n",
"ref_signal = ref_signal[221000:222500, 0] # Use only one channel\n",
"# TODO: Normalize the reference signal\n",
"\n",
@ -638,7 +638,7 @@
"\n",
"We offer two approaches for this:\n",
"\n",
"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",
"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",
"\n",
"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",
"\n",

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"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)\n",
"\n",

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@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"[Table of Contents](0_Table_of_Contents.ipynb)"
]
},

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@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"![book header](pictures/header.png)\n",
"![book header](../pictures/header.png)\n",
"\n",
"[Table of Contents](0_Table_of_Contents.ipynb)\n",
"\n",
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"\n",
"The figure below is a example depiction of the Challenges (*On the old television series, KARR is the archenemy of KITT*)\n",
"\n",
"![alt text](pictures/FinalChallenge.png)\n",
"![alt text](../pictures/FinalChallenge.png)\n",
"\n",
"\n"
]

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# Book

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Subproject commit eb982ad8ab46ed773d72e1e79597b23fc5e2ebba

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