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‎content/detection.rst‎

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The full Python code used to create the figures and simulations in this chapter can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/detection.py>`_, or you can `open it as a marimo notebook <../marimo/detection.html>`_ that runs entirely in your browser, no install required. Note that the notebook uses fewer Monte Carlo trials than the script, so it finishes in a reasonable amount of time, which makes its curves a little noisier.
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The full Python code used to create the figures and simulations in this chapter can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/detection.py>`__, or you can `open it as a marimo notebook <../marimo/detection.html>`_ that runs entirely in your browser, no install required. Note that the notebook uses fewer Monte Carlo trials than the script, so it finishes in a reasonable amount of time, which makes its curves a little noisier.

‎content/digital_modulation.rst‎

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The Python code from the Python Example section of this chapter (including the plotting portion) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/digital_modulation_python.py>`_, or you can `open it as a marimo notebook <../marimo/digital_modulation_python.html>`_ that runs entirely in your browser, no install required.
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The Python code from the Python Example section of this chapter (including the plotting portion) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/digital_modulation_python.py>`__, or you can `open it as a marimo notebook <../marimo/digital_modulation_python.html>`_ that runs entirely in your browser, no install required.

‎content/filters.rst‎

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The Python code for several of this chapter's examples (designing a low-pass filter and shifting it to make a band-pass filter, comparing the different convolution methods, and filtering noise with :code:`fftconvolve`) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/filters_chapter.py>`_, or you can `open it as a marimo notebook <../marimo/filters_chapter.html>`_ that runs entirely in your browser, no install required.
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The Python code for several of this chapter's examples (designing a low-pass filter and shifting it to make a band-pass filter, comparing the different convolution methods, and filtering noise with :code:`fftconvolve`) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/filters_chapter.py>`__, or you can `open it as a marimo notebook <../marimo/filters_chapter.html>`_ that runs entirely in your browser, no install required.

‎content/fpv_video.rst‎

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The Python code used to demodulate the video in this chapter, including the plots along the way, can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/ntsc_pal_bw_minimal.py>`_, or you can `open it as a marimo notebook <../marimo/ntsc_pal_bw_minimal.html>`_ that runs entirely in your browser and downloads the FPV recording for you, no install required.
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The Python code used to demodulate the video in this chapter, including the plots along the way, can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/ntsc_pal_bw_minimal.py>`__, or you can `open it as a marimo notebook <../marimo/ntsc_pal_bw_minimal.html>`_ that runs entirely in your browser and downloads the FPV recording for you, no install required.

‎content/frequency_domain.rst‎

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The full Python code from the FFT in Python, Windowing, Spectrogram/Waterfall, and FFT Implementation sections (including the plotting portion) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/frequency_domain.py>`_, or you can `open it as a marimo notebook <../marimo/frequency_domain.html>`_ that runs entirely in your browser, no install required.
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The full Python code from the FFT in Python, Windowing, Spectrogram/Waterfall, and FFT Implementation sections (including the plotting portion) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/frequency_domain.py>`__, or you can `open it as a marimo notebook <../marimo/frequency_domain.html>`_ that runs entirely in your browser, no install required.

‎content/pulse_shaping.rst‎

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The Python code used to create most of the figures in this chapter, including the Python exercise and the OQPSK/MSK examples, can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/pulse_shaping.py>`_, or you can `open it as a marimo notebook <../marimo/pulse_shaping.html>`_ that runs entirely in your browser, no install required.
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The Python code used to create most of the figures in this chapter, including the Python exercise and the OQPSK/MSK examples, can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/pulse_shaping.py>`__, or you can `open it as a marimo notebook <../marimo/pulse_shaping.html>`_ that runs entirely in your browser, no install required.

‎content/rds.rst‎

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The version of this chapter's code with the debug plotting/printing included can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/rds_demo.py>`_, or you can `open it as a marimo notebook <../marimo/rds_demo.html>`_ that runs entirely in your browser and downloads the FM recording for you, no install required.
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The version of this chapter's code with the debug plotting/printing included can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/rds_demo.py>`__, or you can `open it as a marimo notebook <../marimo/rds_demo.html>`_ that runs entirely in your browser and downloads the FM recording for you, no install required.

‎content/sync.rst‎

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The full Python example from this chapter (essentially the same code as the collapsed Full Python Example block above, split into cells) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/sync_chapter_only_full_example.py>`_, or you can `open it as a marimo notebook <../marimo/sync_chapter_only_full_example.html>`_ that runs entirely in your browser, no install required.
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The full Python example from this chapter (essentially the same code as the collapsed Full Python Example block above, split into cells) can be found `here <https://raw.githubusercontent.com/777arc/PySDR/refs/heads/master/figure-generating-scripts/sync_chapter_only_full_example.py>`__, or you can `open it as a marimo notebook <../marimo/sync_chapter_only_full_example.html>`_ that runs entirely in your browser, no install required.

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