mirror of
https://gitlab.ewi.tudelft.nl/ee2l1/2025-2026/A.K.03.git
synced 2025-12-12 16:00:56 +01:00
better structure
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# Default ignored files
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<?xml version="1.0" encoding="UTF-8"?>
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<orderEntry type="jdk" jdkName="Python 3.13 (A.K.03)" jdkType="Python SDK" />
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"source": [
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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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"# Table of Contents\n",
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"\n",
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"\n",
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"\n",
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"Appendix B: [Serial Communication with Windows](appendix/Appendix_B.md)\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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"\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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"[Table of Contents](0_Table_of_Contents.ipynb)"
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"cell_type": "markdown",
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"metadata": {},
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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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"[Table of Contents](0_Table_of_Contents.ipynb)"
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]
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"## Initial software Installation\n",
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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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"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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"\n",
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"1. [Installation Mac](appendix/0_Installation_Mac.ipynb)\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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"2. [Installation Windows](../appendix/0_Installation_Windows.ipynb)"
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]
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]
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"\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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"\n",
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"### Student Version ###\n",
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"### Student Version ###\n",
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"\n",
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"\n",
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"# Load and normalize the reference signal\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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"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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"# TODO: Normalize the reference signal\n",
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"\n",
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"\n",
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"We offer two approaches for this:\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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"\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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"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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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"cell_type": "markdown",
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"[Table of Contents](0_Table_of_Contents.ipynb)"
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"[Table of Contents](0_Table_of_Contents.ipynb)"
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"cell_type": "markdown",
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"[Table of Contents](0_Table_of_Contents.ipynb)\n",
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"\n",
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"\n",
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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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"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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]
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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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