I'd like to introduce today's guest blogger, Dave Bergstein, a MATLAB Product Manager at MathWorks. In today's post, Dave discusses recent updates to text processing with MATLAB.... read more >>

Interesting problems are everywhere. Today's guest blogger, Matt Tearle, loves the chance to apply MATLAB to any intellectually stimulating puzzle. It's a fun way to learn and practice new features.... read more >>

Today, my guest blogger is Rick Gentile, an engineer in our Signal Processing Product Marketing group. He will introduce a new app which enables you to gain quick insights into your data.... read more >>

There is a new way to work with textual data in MATLAB R2016b. The new string datatype haven't got enough attention from me until recently. I have been chatting with colleagues Matt Tearle and Adam Sifounakis and we have each discovered a similar beautiful code pattern in MATLAB for generating a sequence of strings.... read more >>

Steve Eddins returns with another thoughtful post on implicit expansion.... read more >>

Today’s guest blogger is Sowmini Sampath, from the Documentation group at MathWorks. Her team’s goal is to make it easier for you to learn how to use our products. Which means examples, examples, and more examples, right? But there’s other useful stuff too, if you need it. She is writing today about the Release Notes.... read more >>

With pleasure, I introduce today's guest blogger, my colleague, Steve Eddins. He has been heavily involved in image processing capabilities in our tools and more recently has also contributed substantially to designing additions and improvements to the MATLAB language.... read more >>

Toshi is back for today's guest post. You may have seen Toshi's earlier posts about text analytics and he often deals with text in his data analysis. So he is very excited about new string arrays in R2016b.... read more >>

I was recently working with someone who had some temporal data in various formats and was trying to merge them in a meaningful way.... read more >>

Ever wish you could easily perform some statistical calculations with a sliding window, but find convolution and filtering a bit daunting for this application? Then a set of new functions in Release R2016a might just be for you! ... read more >>