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fix copyright typo 'under under', add licenses to matlab files, linter
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‎allclose.m

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function flag = allclose(a, b)
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% Sascha Spors, Professorship Signal Theory and Digital Signal Processing,
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% Institute of Communications Engineering (INT), Faculty of Computer Science
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% and Electrical Engineering (IEF), University of Rostock, Germany
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%
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% Data Driven Audio Signal Processing - A Tutorial with Computational Examples
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% Feel free to contact lecturer [email protected]
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% https://numpy.org/doc/stable/reference/generated/numpy.allclose.html
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% numpy.allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)
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% code snippet taken from:
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% https://stackoverflow.com/questions/28975822/matlab-equivalent-for-numpy-allclose
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function flag = allclose(a, b)
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rtol=1e-05;
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atol=1e-08;
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flag = all( abs(a(:)-b(:)) <= atol+rtol*abs(b(:)) );

‎audio_introduction.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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]
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}

‎bias_variance_linear_regression.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}

‎bias_variance_ridge_regression.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}

‎exercise01.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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],

‎exercise02.ipynb

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"\n",
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"# Data Driven Audio Signal Processing - A Tutorial with Computational Examples\n",
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"\n",
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"Winter Semester 2021/22 (Master Course #24512)\n",
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"Winter Semester 2022/23 (Master Course #24512)\n",
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"\n",
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"- lecture: https://github.com/spatialaudio/data-driven-audio-signal-processing-lecture\n",
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"- tutorial: https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise\n",
@@ -349,10 +349,10 @@
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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.10.6"
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}
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},
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"nbformat": 4,

‎exercise03.ipynb

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"\n",
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"# Data Driven Audio Signal Processing - A Tutorial with Computational Examples\n",
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"\n",
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"Winter Semester 2021/22 (Master Course #24512)\n",
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"Winter Semester 2022/23 (Master Course #24512)\n",
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"\n",
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"- lecture: https://github.com/spatialaudio/data-driven-audio-signal-processing-lecture\n",
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"- tutorial: https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise\n",
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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.10.6"
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}
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},
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"nbformat": 4,

‎exercise04_leftinv.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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}
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],

‎exercise04_rightinv.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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],

‎exercise04_svd.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year.\n"
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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],

‎exercise05.ipynb

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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}

‎exercise07_QR.ipynb

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"\n",
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"# Tutorial Selected Topics in Audio Signal Processing\n",
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"\n",
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"Winter Semester 2021/22 (Master Course)\n",
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"Winter Semester 2022/23 (Master Course)\n",
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"\n",
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"- lecture: https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-lecture\n",
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"- tutorial: https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises\n",
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"\n",
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"WIP...\n",
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"The project is currently under heavy development while adding new material for the winter term 2021/22\n",
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"The project is currently under heavy development while adding new material for the winter term 2022/23\n",
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"\n",
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"Feel free to contact lecturer [email protected]"
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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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"## **Copyright**\n",
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"## Copyright\n",
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"\n",
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"The notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources). Feel free to use the notebooks for your own purposes. The text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/), the code of the IPython examples under the [MIT license](https://opensource.org/licenses/MIT). Please attribute the work as follows: *Frank Schultz, Audio Signal Processing - A Tutorial Featuring Computational Examples* with the URL https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises"
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.10.6"
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}
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},
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"nbformat": 4,

‎exercise07_left_inverse_SVD_QR.ipynb

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"\n",
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"# Data Driven Audio Signal Processing - A Tutorial with Computational Examples\n",
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"\n",
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"Winter Semester 2021/22 (Master Course #24512)\n",
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"Winter Semester 2022/23 (Master Course #24512)\n",
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"\n",
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"- lecture: https://github.com/spatialaudio/data-driven-audio-signal-processing-lecture\n",
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"- tutorial: https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise\n",
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"## Copyright\n",
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"\n",
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"- the notebooks are provided as [Open Educational Resources](https://en.wikipedia.org/wiki/Open_educational_resources)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- the text is licensed under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)\n",
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"- the code of the IPython examples is licensed under under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- the code of the IPython examples is licensed under the [MIT license](https://opensource.org/licenses/MIT)\n",
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"- feel free to use the notebooks for your own purposes\n",
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"- please attribute the work as follows: *Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock* ideally with relevant file(s), github URL https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise, commit number and/or version tag, year."
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]
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}
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.10.6"
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}
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},
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"nbformat": 4,

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