It can be used in the following ways: json = savejson(rootname, obj, filename) In our project, we’ll only use the savejson() function that converts a MATLAB object (cell, struct, or array) into a JSON string. loadjson() is used to convert a JSON string into the related MATLAB object. The last two functions are used for processing the UBJSON format. It gives us access to four functions: loadjson(), savejson(), loadubjson() and saveubjson(). It can be used to convert a MATLAB data structure (array, struct, cell, struct array and cell array) into JSON formatted string, or decode a JSON file into MATLAB data.
JSONlab is a free and open-source implementation of a JSON encoder/decoder for the MATLAB language. If you are not familiar with MEAN stack, I suggest you to read the article An Introduction to the MEAN Stack before moving forward. The web application will be created using the MEAN stack. We’ll use JSONlab, a toolbox to encode/decode JSON files in MATLAB. For simplicity we’ll transfer the current time from MATLAB and display it on the browser. The web application will involve real-time transfer of data from MATLAB to the browser.
In this article we’ll develop a small demo to demonstrate how to have MATLAB and the MEAN stack working together.
It’d be a lot easier to create applications if MATLAB provided data in JSON and a web application could use those JSON data from MATLAB to create something wonderful.
There are a lot of projects around the world that are written in MATLAB and developed by millions of scientists and engineers. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. MATLAB is a high-level language used for technical computing.