index.ipynb

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    "# Audio Signal Processing in Python\n",
    "\n",
    "As a quick (and hopefully painless) introduction to the whole topic, have a look at:\n",
    "\n",
    "* [Generating Simple Audio Signals](simple-signals.ipynb)\n",
    "\n",
    "If you want to know about the basics of Python and nothing else (no numeric Python, no plotting, no signal processing, just the very basics), that's for you:\n",
    "\n",
    "* [Introduction to Python](intro-python.ipynb)\n",
    "\n",
    "More topics:\n",
    "\n",
    "* [Plotting with Python](plotting/index.ipynb)\n",
    "\n",
    "* [Reading and Writing Audio Files](audio-files/index.ipynb)\n",
    "\n",
    "* [List Comprehensions, Generators, Generator Expressions](misc/comprehensions-and-generators.ipynb)\n",
    "\n",
    "*Warning*: The following topics are very much work in progress!\n",
    "\n",
    "* [Introduction to Jupyter/IPython notebooks](intro-jupyter.ipynb)\n",
    "\n",
    "* [Introduction to NumPy](intro-numpy.ipynb)\n",
    "\n",
    "* [Testing Python Code](testing/index.ipynb)\n",
    "\n",
    "TODO: more topics ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## External Links\n",
    "\n",
    "There are quite a few blog posts and other resources available, here are a few\n",
    "links, use your favorite search engine to find more."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Audio Signal Processing\n",
    "\n",
    "http://bastibe.de/2012-11-02-real-time-signal-processing-in-python.html\n",
    "\n",
    "http://www.swharden.com/blog/2013-05-09-realtime-fft-audio-visualization-with-python/\n",
    "\n",
    "http://www.swharden.com/blog/2013-05-08-realtime-data-plotting-in-python/\n",
    "\n",
    "http://www.swharden.com/blog/2010-03-05-realtime-fft-graph-of-audio-wav-file-or-microphone-input-with-python-scipy-and-wckgraph/\n",
    "\n",
    "http://samcarcagno.altervista.org/blog/basic-sound-processing-python/\n",
    "\n",
    "http://blog.chrisarndt.de/article/499 (de)\n",
    "\n",
    "Think DSP: Digital Signal Processing in Python: http://greenteapress.com/thinkdsp/\n",
    "\n",
    "https://github.com/kylemcdonald/AudioNotebooks\n",
    "\n",
    "https://zach.se/generate-audio-with-python/  \n",
    "https://github.com/zacharydenton/wavebender\n",
    "\n",
    "https://github.com/hecanjog/pippi\n",
    "http://pippi.readthedocs.io/en/latest/\n",
    "\n",
    "https://project-awesome.org/faroit/awesome-python-scientific-audio"
   ]
  },
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   "metadata": {},
   "source": [
    "### Signal Processing in General\n",
    "\n",
    "http://python-for-signal-processing.blogspot.de/\n",
    "\n",
    "https://sites.google.com/site/sigsys15/\n",
    "\n",
    "A Journey in Signal processing with IPython: https://github.com/jfbercher/LecturesSignalProcessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Systems and Control Theory\n",
    "\n",
    "https://github.com/python-control/python-control\n",
    "\n",
    "http://harold.readthedocs.io/, https://github.com/ilayn/harold\n",
    "\n",
    "https://github.com/alchemyst/Skogestad-Python"
   ]
  },
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   "source": [
    "### Kalman Filters\n",
    "\n",
    "A. Kiruluta, M. Eizenman und S. Pasupathy. „Predictive\n",
    "head movement tracking using a Kalman filter”, IEEE\n",
    "Transactions on Systems, Man and Cybernetics,Vol. 27,\n",
    "No. 2, 1997.\n",
    "\n",
    "J. J. LaViola, “Double exponential smoothing:\n",
    "An alternative to Kalman filter-based predictive\n",
    "tracking”, Workshop on Virtual environments\n",
    "(EGVE '03), Zürich, 2003.\n",
    "\n",
    "https://ntrs.nasa.gov/citations/20040037784\n",
    "\n",
    "https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python\n",
    "\n",
    "https://praveshkoirala.com/2023/06/13/a-non-mathematical-introduction-to-kalman-filters-for-programmers/,\n",
    "https://news.ycombinator.com/item?id=36971975\n",
    "\n",
    "https://www.kalmanfilter.net/,\n",
    "https://news.ycombinator.com/item?id=37879715\n",
    "\n",
    "https://www.bzarg.com/p/how-a-kalman-filter-works-in-pictures/,\n",
    "https://news.ycombinator.com/item?id=29473271\n",
    "\n",
    "https://jbconsulting.substack.com/p/is-the-kalman-filter-just-a-low-pass\n",
    "https://news.ycombinator.com/item?id=32271351"
   ]
  },
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   "metadata": {},
   "source": [
    "### Other Scientific Topics and Scientific Python in General\n",
    "\n",
    "http://scipy-lectures.github.io/\n",
    "\n",
    "https://github.com/jrjohansson/scientific-python-lectures\n",
    "\n",
    "http://pig-in-the-python.blogspot.de/\n",
    "\n",
    "http://www.southampton.ac.uk/~feeg1001/index.html\n",
    "\n",
    "Computational Methods for Psychology and Neuroscience: http://memory.osu.edu/classes/python/index.html\n",
    "\n",
    "https://github.com/IanHawke/maths-with-python\n",
    "\n",
    "http://www.southampton.ac.uk/~fangohr/training/python/index.html\n",
    "\n",
    "PHY 546: Python for Scientific Computing: http://bender.astro.sunysb.edu/classes/python-science/\n",
    "\n",
    "https://www.dataquest.io/blog/numpy-tutorial-python/\n",
    "\n",
    "http://blancosilva.github.io/post/2014/10/28/Computational-Geometry-in-Python.html\n",
    "\n",
    "http://matthew-brett.github.io/teaching/\n",
    "\n",
    "http://jakevdp.github.io/blog/2017/03/03/reproducible-data-analysis-in-jupyter/\n",
    "\n",
    "Python Data Science Handbook: full text in Jupyter Notebooks  \n",
    "https://github.com/jakevdp/PythonDataScienceHandbook\n",
    "\n",
    "Machine Learning for Artists:\n",
    "https://ml4a.github.io/index/,\n",
    "https://github.com/ml4a/ml4a-guides\n",
    "\n",
    "Notes on Artificial Intelligence: https://frnsys.com/ai_notes/\n",
    "\n",
    "IPython Cookbook, Second Edition (2018): http://ipython-books.github.io/\n",
    "\n",
    "Learning Python for Social Scientists: https://nealcaren.github.io/python-tutorials/\n",
    "\n",
    "https://calculus-notes.readthedocs.io/\n",
    "\n",
    "Ten Simple Rules for Reproducible Research in Jupyter Notebooks:  \n",
    "https://arxiv.org/abs/1810.08055  \n",
    "https://github.com/jupyter-guide/ten-rules-jupyter\n",
    "\n",
    "Guide for Reproducible Research and Data Science in Jupyter Notebooks:  \n",
    "https://github.com/jupyter-guide/jupyter-guide"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python in General\n",
    "\n",
    "http://cscircles.cemc.uwaterloo.ca/\n",
    "\n",
    "http://docs.python.org/3/tutorial/\n",
    "\n",
    "http://docs.python-guide.org/\n",
    "\n",
    "http://learnpythonthehardway.org/book/\n",
    "\n",
    "http://getpython3.com/diveintopython3/index.html\n",
    "\n",
    "http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html\n",
    "\n",
    "http://lignos.org/py_antipatterns/\n",
    "\n",
    "http://www.digilentinc.com/Classroom/IntroProgramming1/\n",
    "\n",
    "https://github.com/JonasSC/PythonistManifesto\n",
    "\n",
    "https://github.com/rasbt/python_reference\n",
    "\n",
    "http://www.greenteapress.com/thinkpython/\n",
    "\n",
    "Programming with Python (MATH20622): http://www.maths.manchester.ac.uk/~vsego/teaching.php\n",
    "\n",
    "https://github.com/justmarkham/python-reference\n",
    "\n",
    "pytudes: Python programs for perfecting programming skills  \n",
    "https://github.com/norvig/pytudes\n",
    "\n",
    "https://rsokl.github.io/Learning_Python/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Trivia\n",
    "\n",
    "http://www.b-list.org/weblog/2015/oct/13/wats-doc/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Collaboration with Other Software\n",
    "\n",
    "https://github.com/arokem/python-matlab-bridge\n",
    "\n",
    "https://github.com/ewiger/mlab\n",
    "\n",
    "https://github.com/bastibe/transplant"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison with Other Software\n",
    "\n",
    "http://wiki.scipy.org/NumPy_for_Matlab_Users\n",
    "\n",
    "http://bastibe.de/2013-01-20-a-python-primer-for-matlab-users.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Non-Python Stuff\n",
    "\n",
    "https://github.com/IoSR-Surrey/MatlabToolbox"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
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    "<p xmlns:dct=\"http://purl.org/dc/terms/\">\n",
    "  <a rel=\"license\"\n",
    "     href=\"http://creativecommons.org/publicdomain/zero/1.0/\">\n",
    "    <img src=\"http://i.creativecommons.org/p/zero/1.0/88x31.png\" style=\"border-style: none;\" alt=\"CC0\" />\n",
    "  </a>\n",
    "  <br />\n",
    "  To the extent possible under law,\n",
    "  <span rel=\"dct:publisher\" resource=\"[_:publisher]\">the person who associated CC0</span>\n",
    "  with this work has waived all copyright and related or neighboring\n",
    "  rights to this work.\n",
    "</p>"
   ]
  }
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