{"id":4430,"date":"2013-03-15T09:00:19","date_gmt":"2013-03-15T13:00:19","guid":{"rendered":"https:\/\/blogs.mathworks.com\/pick\/?p=4430"},"modified":"2016-11-30T11:16:50","modified_gmt":"2016-11-30T16:16:50","slug":"additional-hardware-support-in-r2013a","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/pick\/2013\/03\/15\/additional-hardware-support-in-r2013a\/","title":{"rendered":"Additional Hardware Support in R2013a"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div class=\"content\">\n<p><a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/authors\/15007\">Jiro<\/a>'s pick this week is a collection of new hardware support packages introduced in R2013a.<\/p>\n<div>\n<ul>\n<li><a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40313-simulink-support-package-for-raspberry-pi-hardware\">Raspberry Pi\u00ae<\/a><\/li>\n<li>Gumstix\u00ae Overo\u00ae<\/li>\n<li><a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40344-data-acquisition-toolbox-support-package-for-digilent-analog-discovery-hardware\">Digilent\u00ae Analog Discovery\u2122<\/a><\/li>\n<li><a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40445-image-acquisition-toolbox-support-package-for-kinect-for-windows-sensor\">Kinect\u00ae for Windows\u00ae<\/a><\/li>\n<\/ul>\n<\/div>\n<p>Some of you may know, especially if you've been reading some of the other <a href=\"https:\/\/blogs.mathworks.com\/\">blog posts<\/a>, that we came out with our newest release of MATLAB <a href=\"https:\/\/www.mathworks.com\/products\/new_products\/latest_features.html\">R2013a<\/a> last week. There are many new updates to various Toolboxes, so check out the <a href=\"https:\/\/www.mathworks.com\/help\/relnotes\/index.html\">Release Notes<\/a>!<\/p>\n<p>Since R2012a, we've been putting a lot of effort to make it easier for you to connect to different types of hardware, especially for use in academia. In R2012a, we added support for automatically running Simulink models on <a href=\"https:\/\/www.mathworks.com\/hardware-support\/lego-mindstorms-matlab.html\">Lego\u00ae Mindstorm\u00ae NXT<\/a> and <a href=\"https:\/\/www.mathworks.com\/matlabcentral\/answers\/264841-is-there-a-simulink-support-package-for-beagleboard\">BeagleBoard\u2122<\/a>. In R2012b, we extended the capability to <a title=\"https:\/\/www.mathworks.com\/academia\/arduino-software\/ (link no longer works)\">Arduino\u00ae<\/a> and PandaBoard\u2122.<\/p>\n<p>Now in R2013a, we have added support for Raspberry Pi and Gumstix Overo. In addition to these direct support within Simulink, the newest release contains support for Digilent Analog Discovery with <a href=\"https:\/\/www.mathworks.com\/products\/daq\/\">Data Acquisition Toolbox<\/a>, and support for Microsoft Kinect with <a href=\"https:\/\/www.mathworks.com\/products\/imaq\/\">Image Acquisition Toolbox<\/a>.<\/p>\n<p>You can start using these functionalities by downloading the installer files from the File Exchange, or, more conveniently, download directly from within MATLAB.<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blogs.mathworks.com\/images\/pick\/jiro\/potw_r2013aHWsupport\/potw_getsupportpackages_screenshot.png\" alt=\"\" hspace=\"5\" vspace=\"5\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><b>Comments<\/b><\/p>\n<p>Have you used any of these hardware platforms with MATLAB and Simulink? Tell us about it <a href=\"https:\/\/blogs.mathworks.com\/pick\/?p=4430#respond\">here<\/a>.<\/p>\n<p><script>\/\/ <![CDATA[\nfunction grabCode_c26df89ccef64a33a3367db3e6fd3d35() {\n        \/\/ Remember the title so we can use it in the new page\n        title = document.title;\n\n        \/\/ Break up these strings so that their presence\n        \/\/ in the Javascript doesn't mess up the search for\n        \/\/ the MATLAB code.\n        t1='c26df89ccef64a33a3367db3e6fd3d35 ' + '##### ' + 'SOURCE BEGIN' + ' #####';\n        t2='##### ' + 'SOURCE END' + ' #####' + ' c26df89ccef64a33a3367db3e6fd3d35';\n    \n        b=document.getElementsByTagName('body')[0];\n        i1=b.innerHTML.indexOf(t1)+t1.length;\n        i2=b.innerHTML.indexOf(t2);\n \n        code_string = b.innerHTML.substring(i1, i2);\n        code_string = code_string.replace(\/REPLACE_WITH_DASH_DASH\/g,'--');\n\n        \/\/ Use \/x3C\/g instead of the less-than character to avoid errors \n        \/\/ in the XML parser.\n        \/\/ Use '\\x26#60;' instead of '<' so that the XML parser\n        \/\/ doesn't go ahead and substitute the less-than character. \n        code_string = code_string.replace(\/\\x3C\/g, '\\x26#60;');\n\n        copyright = 'Copyright 2013 The MathWorks, Inc.';\n\n        w = window.open();\n        d = w.document;\n        d.write('\n\n\n\n\n\n\n\n\n\n<pre>\\n');\r\n        d.write(code_string);\r\n\r\n        \/\/ Add copyright line at the bottom if specified.\r\n        if (copyright.length > 0) {\r\n            d.writeln('');\r\n            d.writeln('%%');\r\n            if (copyright.length > 0) {\r\n                d.writeln('% _' + copyright + '_');\r\n            }\r\n        }\r\n\r\n        d.write('<\/pre>\n\n\n\n\n\n\n\n\n\n\n\\n');\n\n        d.title = title + ' (MATLAB code)';\n        d.close();\n    }\n\/\/ ]]><\/script><\/p>\n<p style=\"text-align: right; font-size: xx-small; font-weight: lighter; font-style: italic; color: gray;\"><a><span style=\"font-size: x-small; font-style: italic;\">Get<br \/>\nthe MATLAB code<noscript>(requires JavaScript)<\/noscript><\/span><\/a><\/p>\n<p>Published with MATLAB\u00ae R2013a<\/p>\n<\/div>\n<p><!--\nc26df89ccef64a33a3367db3e6fd3d35 ##### SOURCE BEGIN #####\n%%\n% <https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/authors\/15007 % Jiro>'s pick this week is a collection of new hardware support packages\n% introduced in R2013a.\n%\n% * <https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40313-simulink-support-package-for-raspberry-pi-hardware Raspberry % Pi\u00c2\u00ae>\n% * <https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40273 Gumstix\u00c2\u00ae % Overo\u00c2\u00ae>\n% * <https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40344-data-acquisition-toolbox-support-package-for-digilent-analog-discovery-hardware Digilent\u00c2\u00ae % Analog Discovery\u00e2\u201e\u00a2>\n% * <https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/40445-image-acquisition-toolbox-support-package-for-kinect-for-windows-sensor Kinect\u00c2\u00ae for % Windows\u00c2\u00ae>\n%\n% Some of you may know, especially if you've been reading some of the other\n% <https:\/\/blogs.mathworks.com\/ blog posts>, that we came out with our\n% newest release of MATLAB\n% <https:\/\/www.mathworks.com\/products\/new_products\/latest_features.html % R2013a> last week. There are many new updates to various Toolboxes, so\n% check out the <https:\/\/www.mathworks.com\/help\/relnotes\/index.html Release % Notes>!\n%\n% Since R2012a, we've been putting a lot of effort to make it easier for\n% you to connect to different types of hardware, especially for use in\n% academia. In R2012a, we added support for automatically running Simulink\n% models on\n% <https:\/\/www.mathworks.com\/hardware-support\/lego-mindstorms-matlab.html Lego\u00c2\u00ae % Mindstorm\u00c2\u00ae NXT> and <https:\/\/www.mathworks.com\/academia.htmlbeagleboard\/ % BeagleBoard\u00e2\u201e\u00a2>. In R2012b, we extended the capability to\n% <https:\/\/www.mathworks.com\/academia\/arduino-software\/ Arduino\u00c2\u00ae> and\n% <https:\/\/www.mathworks.com\/academia.htmlpandaboard\/ PandaBoard\u00e2\u201e\u00a2>.\n%\n% Now in R2013a, we have added support for\n% <https:\/\/www.mathworks.com\/hardware-support\/raspberry-pi-simulink.html Raspberry Pi> and\n% <https:\/\/www.mathworks.com\/academia.htmlgumstix-overo\/ Gumstix Overo>. In\n% addition to these direct support within Simulink, the newest release\n% contains support for\n% <https:\/\/www.mathworks.com\/academia.htmldigilent-analog-discovery\/ Digilent % Analog Discovery> with <https:\/\/www.mathworks.com\/products\/daq\/ Data % Acquisition Toolbox>, and support for\n% <https:\/\/www.mathworks.com\/academia.htmlkinect\/ Microsoft Kinect> with\n% <https:\/\/www.mathworks.com\/products\/imaq\/ Image Acquisition Toolbox>.\n%\n% You can start using these functionalities by downloading the installer\n% files from the File Exchange, or, more conveniently, download directly\n% from within MATLAB.\n%\n% <<potw_getsupportpackages_screenshot.png>>\n%\n% Read <https:\/\/www.mathworks.com\/academia.htmlhardware-resources\/index.html % more> about other hardware platforms you can interface with MATLAB and\n% Simulink.\n%\n% *Comments*\n%\n% Have you used any of these hardware platforms with MATLAB and Simulink?\n% Tell us about it <https:\/\/blogs.mathworks.com\/pick\/?p=4430#respond here>.\n\n##### SOURCE END ##### c26df89ccef64a33a3367db3e6fd3d35\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"https:\/\/blogs.mathworks.com\/images\/pick\/jiro\/potw_r2013aHWsupport\/potw_getsupportpackages_screenshot.png\" onError=\"this.style.display ='none';\" \/><\/div>\n<p>&nbsp;<\/p>\n<p>Jiro's pick this week is a collection of new hardware support packages introduced in R2013a.<\/p>\n<p>Raspberry Pi\u00ae<br \/>\nGumstix\u00ae Overo\u00ae<br \/>\nDigilent\u00ae Analog Discovery\u2122<br \/>\nKinect\u00ae for Windows\u00ae<\/p>\n<p>Some of you may... <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/pick\/2013\/03\/15\/additional-hardware-support-in-r2013a\/\">read more >><\/a><\/p>\n","protected":false},"author":35,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[16],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/4430"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/comments?post=4430"}],"version-history":[{"count":9,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/4430\/revisions"}],"predecessor-version":[{"id":8170,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/4430\/revisions\/8170"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/media?parent=4430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/categories?post=4430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/tags?post=4430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}