{"id":11163,"date":"2019-11-22T08:57:07","date_gmt":"2019-11-22T13:57:07","guid":{"rendered":"https:\/\/blogs.mathworks.com\/pick\/?p=11163"},"modified":"2019-11-22T10:09:07","modified_gmt":"2019-11-22T15:09:07","slug":"interpolation-utilities","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/pick\/2019\/11\/22\/interpolation-utilities\/","title":{"rendered":"Interpolation Utilities"},"content":{"rendered":"<p><a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/authors\/76890\">Will<\/a>&#8216;s pick this week is <a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/36800-interpolation-utilities\">Interpolation Utilities<\/a> by <a href=\"https:\/\/www.mathworks.com\/matlabcentral\/profile\/authors\/2154253-joe-henning\">Joe Henning<\/a>.<\/p>\n<p>As most of you are probably aware, interpolation is the task of estimating the value of a data set in between known data points. There are a variety of numeric methods for interpolation. Joe&#8217;s contribution is a handy repository of 37 of these methods. A few of them have built-in MATLAB functions nowadays. For example, an <a href=\"https:\/\/www.mathworks.com\/help\/matlab\/ref\/makima.html\">Akima<\/a> function was added in R2019b. But there are many interpolation techniques that you will struggle to find elsewhere. You never know which one you&#8217;ll find the most suitable technique to fill in that missing data. Here are the results of a few different methods from the collection.<\/p>\n<p><center><img decoding=\"async\" loading=\"lazy\" width=\"700\" height=\"525\" src=\"https:\/\/blogs.mathworks.com\/pick\/files\/interpolation_plot.png\" alt=\"Different Interpolation Techniques\" class=\"alignnone size-medium wp-image-11167\" \/><\/center><\/p>\n<p>Let us know what you think <a href=\"https:\/\/blogs.mathworks.com\/pick\/?p=11163#respond\">here<\/a> or leave a <a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/36800-interpolation-utilities#comments\">comment<\/a> for Joe.<\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"https:\/\/blogs.mathworks.com\/pick\/files\/interpolation_plot.png\" onError=\"this.style.display ='none';\" \/><\/div>\n<p>Will&#8216;s pick this week is Interpolation Utilities by Joe Henning.<br \/>\nAs most of you are probably aware, interpolation is the task of estimating the value of a data set in between known data points&#8230;. <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/pick\/2019\/11\/22\/interpolation-utilities\/\">read more >><\/a><\/p>\n","protected":false},"author":45,"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\/11163"}],"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\/45"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/comments?post=11163"}],"version-history":[{"count":9,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/11163\/revisions"}],"predecessor-version":[{"id":11185,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/11163\/revisions\/11185"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/media?parent=11163"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/categories?post=11163"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/tags?post=11163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}