korg_wavedrum_midification
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korg_wavedrum_midification [2014/03/26 17:21] midisaron moved how to add the library to separate chapter |
korg_wavedrum_midification [2014/03/26 17:26] midisaron |
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| ===Processing the signals=== | ===Processing the signals=== | ||
| After 64 samples of the head or rim signal have been captured, a FFT (Fast Fourier Transform) on these samples is performed. This results in 33 (usable) frequency bins representing the spectrum of the signal. I did not program the FFT myself but took it from NXP's | After 64 samples of the head or rim signal have been captured, a FFT (Fast Fourier Transform) on these samples is performed. This results in 33 (usable) frequency bins representing the spectrum of the signal. I did not program the FFT myself but took it from NXP's | ||
| - | [[http://www.nxp.com/documents/application_note/AN10913_CM3_DSP_library_v1_0_0.zip|AN10913]]. See below How to add the DSP library to the project. A short yet comprehensible introduction into the concept of the FFT including examples on how to use NXP's DSP library is given in [[http://www.nxp.com/documents/application_note/AN10943.zip|AN10943]]. | + | [[http://www.nxp.com/documents/application_note/AN10913_CM3_DSP_library_v1_0_0.zip|AN10913]]. See below [[korg_wavedrum_midification#How to add the DSP library to the project]]. A short yet comprehensible introduction into the concept of the FFT including examples on how to use NXP's DSP library is given in [[http://www.nxp.com/documents/application_note/AN10943.zip|AN10943]]. |
| I think it's amazing that the humble LPC1769 can calculate a 64-points-FFT so quickly that the delay is not noticable (at least to me). There are countless ways how the result of a FFT can be used. For the head signal, the high frequency components are stronger when the head is hit with a harder object (drumstick rather than hand), and when it's hit closer to the rim. This way a crude position detection is possible.\\ | I think it's amazing that the humble LPC1769 can calculate a 64-points-FFT so quickly that the delay is not noticable (at least to me). There are countless ways how the result of a FFT can be used. For the head signal, the high frequency components are stronger when the head is hit with a harder object (drumstick rather than hand), and when it's hit closer to the rim. This way a crude position detection is possible.\\ | ||
| Only the absolute values of the complex frequency bin values are used. The correct formula would be | Only the absolute values of the complex frequency bin values are used. The correct formula would be | ||
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| ===MIDI=== | ===MIDI=== | ||
| This picture shows how the signals from the sensors are processed and converted to MIDI messages. At the same time this is how the SoundDiver editor window looks like: | This picture shows how the signals from the sensors are processed and converted to MIDI messages. At the same time this is how the SoundDiver editor window looks like: | ||
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| {{:wavedrum_midi:sd_screenshot.jpg?600|Signal flow}} | {{:wavedrum_midi:sd_screenshot.jpg?600|Signal flow}} | ||
korg_wavedrum_midification.txt ยท Last modified: 2015/02/09 17:55 by midisaron
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