Matlab Objective-C C
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This is a custom Embedded Coder Target for Ben NanoNote, small but capable computing device. See http://en.qi-hardware.com/wiki/Ben_NanoNote for more details about this device. See http://www.mathworks.com/products/embedded-coder/ for more info about Simulink/Embedded Coder. Steps to install: 1) Download OpenWrt toolchain tailored for Ben NanoNote here: http://downloads.qi-hardware.com/software/images/NanoNote/Ben/latest/ Choose the file which name starts with "OpenWrt-Toolchain-xburst..." and suitable for your architecture (i686 or x86_64). Alternatively, build your own toolchain following the steps here: http://en.qi-hardware.com/wiki/Building_Software_Image 2) Run in MATLAB command prompt: addpref('nanonote','TOOLCHAIN_PREFIX','/your/path/to/toolchain-mipsel_gcc-4.5-linaro_uClibc-0.9.32/bin/mipsel-openwrt-linux-'); addpref('nanonote','STAGING_DIR','/your/path/to/toolchain-mipsel_gcc-4.5-linaro_uClibc-0.9.32'); The STAGING_DIR is required for OpenWrt-based toolchain. It seems that STAGING_DIR is only required if you are usign the Openwrt toolchain from Openwrt build root (directory). 3) Add an entry to /etc/hosts to avoid using Ben NanoNote IP (for your convenience). Set up a passwordless login for Ben NanoNote: ssh ben 'cat >>/etc/dropbear/authorized_keys' <~/.ssh/id_rsa.pub Verify that you can login into Ben by typing "ssh ben" (or whatever name you gave it) in your shell. Run in MATLAB command prompt: addpref('nanonote','HOSTNAME','ben'); 4) Add 'nanonote' directory and subdirectories to your MATLAB path. Run 'sl_refresh_customizations' or restart MATLAB. You may have a look at nanonote_setup.m for examples of steps 2-4. Supported features of this target support package: - Generate Standalone executables (not real time) to run on Ben - PIL (Processor-in-the-Loop) Simulation: * Top level PIL * Model Block PIL * Subsystem PIL - PIL execution profiling - External mode - Required MathWorks products: * MATLAB * Simulink * Embedded Coder