Added: 4 years ago
From: w4Yp0iNt
Views: 4,870
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  • i need the m file code for this visualizer can u help me

  • hello, currently i do some project related to FFT, and using music visualizer for it's application.

    i want to learn more about your simple visualizer but apparently the link is broken :(

    can you reupload the source code?

  • I've added a link to sourcecode download to video's description.

  • how can i turn mi windows looks like black with the cool highlight colors?

  • this simply isn't windows

    it's gentoo linux

  • i know that....... I know I have to be specific. I'm a linux user since 6 years or so. But I just saw the theme for your text editor. I use gedit but I can't find a highlight color theme like yours. Or that X11window was just the Lscolors foe your terminal.

  • the editor I'm using in the video is VIM and it runs inside a terminal. for how to turn on syntax highlighting I suggest googling for your distribution.

  • sory i ask for the same thing, but, could i have the code to take a look at it?

  • sorry i haven't answered yet. i'm afraid i'm not at home right now but i promise i will try to find the code as soon as i'm home again (tomorrow or at least the day after)

  • The last two visualizers look so hairy! Anyway, a very good job on real-time visualizer nevertheless. Amazing! =)

  • Nice! I've never seen realtime Matlab before. We've used Processing for these types of visualization s in the past

  • How? how did you write it - do you have source code???

  • Sure I have source code, I've written it ;) But it's really simple .. I can try to explain the basics:

    Audio PCM data is being read from a file. After reading is finished, an audio playback process is started by calling an extern program like "mpg123". During the playback there's a "window" defined on the whole PCM data and this "window" is moving forwards simultaneously with the playback. The contents of this window are plotted by different Matlab functions using different parameters.

  • You can easily expand this to visualizers reacting on high and low frequency PCM by applying a difference- and/or moving avarage filter on the data.

  • I'm currently working on an comparable implementation in C++ but this will take a while

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