music from: http://archive.org/details/techno_911
Description in the works…
Code on GitHub
You are now basically obligated to pick up a Raspi. Chameleon is a Raspian “Wheezy” remix which includes almost every video game console emulator you’d ever want. Easily drop a few roms in your pi via your desktop’s network browser and you’re quickly reliving every priceless moment in The Legend of Zelda or Super Mario, or just get a gentle game of pong going on.
From Carles Oriol:
Comprehensive instructions on how to flash an SD with ChameleonPi (8GB minimum):
I experienced quite a bit of lag using the NES emulator until I over-clocked the CPU.
To check your current clock speed:
vcgencmd get_config arm_freq
or for more detailed information:
vcgencmd get_config int
You can edit the config file directly:
sudo nano /boot/config.txt
or use the raspi-config tool to set basic over-clocking:
Scroll down to option 7 – overclock.
I chose “High” 950MHz ARM, 450MHz core, 450MHz SDRAM, 6 overvolt.
So far it’s running smooth with these settings.
My next step will be to figure out how to only display the emulators that I choose in the UI in hopes of simplifying the interface for less experienced, and younger users. I think machines.conf file has something to do with it so I’ll make a backup copy and start messing around with it:
sudo cp /opt/selector/machines.conf /opt/selector/machines_orig.conf sudo nano /opt/selector/machines.conf
There is a great tutorial on how to setup and use a 2×16 LCD on the Arduino website:
Here’s a good explanation of FFT theory:
My pinout is a little different because I wanted to save as many PWM pins to add servo control for the next stage of this project. I’ve been tinkering with the idea of moving physical objects around based on audio input, instead of just showing levels on a display.
To visualize the frequency levels of the incoming audio signal I use the 8-bit Fast Fourier transform code which is discussed here:
Honestly, I’m not convinced that what I’m seeing on the display is an accurate representation of the audio spectrum that I’m listening to, but it looks pretty cool and that’s all I really care about at this point. There is hardware available that would produce much more accurate results than this software. There is a “Color Organ” project on the Make website that I’d like to build someday:
Code and libraries on GitHub
Arduino audio input module (mono):
Arduino audio input module (stereo):