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Tuesday, April 25, 2017
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MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numerical computation. Using MATLAB 2017a, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions) extend the MATLAB environment to solve particular classes of problems in these application areas.
• Edit a figure interactively including title, labels, legend, and other annotations • Get suggestions for mistyped commands and variables • Copy live script outputs to other applications • Hover over variables to see their current value • Add-On Explorer: Discover and install File Exchange submissions hosted on GitHub in Add-On Explorer • MATLAB Online: Access MATLAB through your web browser Language and Programming • string Arrays: Create string arrays using double quotes • missing Function: Assign missing values in core data types, including double, datetime,<code<categorical<> and string arrays</code<categorical<> • issortedrows Function: Determine if matrix and table rows are sorted • sort and sortrows Functions: Specify options for sorting complex numbers and placing missing elements • issorted Function: Query sort order with monotonic, strictly monotonic, strictly ascending, and strictly descending options
Graphics
• heatmap Function: Visualize table or matrix data as a heatmap • legend Function: Create legends that update when data is added to or removed from the axes • Categorical Plotting: Use categorical data in common plotting functions and customize axes with categorical rulers • histogram Function: Plot histograms of datetime and duration data
Data Import and Export
• datastore and tabularTextDatastore Functions: Automatically detect and return date and time data in text files • Import Tool: Import strings and categorical arrays interactively • detectImportOptions Function: Control import properties of fixed-width text files • RESTful web services: Support for PUT and DELETE HTTP methods in webread, webwrite, and websave
Data Analysis
• tall Arrays: Operate on tall arrays with more functions, including ismember, sort, conv, and moving statistics functions • isoutlier and filloutliers Functions: Detect and replace outliers in an array or table • smoothdata Function: Smooth noisy data in an array or table with filtering or local regression • summary Function: Calculate summary statistics and variable information in tables and timetables • movmad and movprod Functions: Compute moving median absolute deviation and moving product of an array • bounds Function: Simultaneously determine the smallest and largest elements of an array • fillmissing Function: Replace missing data in an array or table using moving mean or moving median option
App Building
• Learn to build apps using an interactive tutorial • Zoom and pan plots • Configure columns of a table to automatically fill the entire width of the table • Manage common design-time settings using the Preferences dialog box
Performance
• Execution Engine: Improved performance for setting MATLAB object properties • save Function: Save MAT v7.3 files without compression for improved performance on some storage devices • memoize Function: Cache results of a function to avoid rerunning when called with the same inputs • Scripts: Improved performance of scripts with lower script overhead • try, catch Block: Improved performance of try blocks with lower execution overhead
Hardware Support
• Arduino: Read from quadrature encoders • Arduino: Wirelessly connect to Arduino MKR1000 board over WiFi Advanced Software Development • Object Properties: Validate object property values by their type, size, shape, or other parameters • Mocking Framework: Isolate a portion of a system to test by imitating behavior of dependent components • Unit Testing Framework: Capture screenshots and figures generated during tests using TestReportPlugin • Unit Testing Framework: Control runtests function with debug, strict, and verbosity options • Performance Testing Framework: View statistics from test measurements with the sampleSummary method
