Dimitri Shvorob just made my day, without knowing it. He just posted VANITY, clearly one of the most brilliant submissions ever to see the light of day on MATLAB Central. In Dimitri's words: "When... 더 읽어보기 >>

I’m one of those geeks who loves doing everything in MATLAB. Data Analysis: Check. Search Google: Check. Write Reports: Check. Now I can add one more item to my list, keeping up with my stocks…. 더 읽어보기 >>

NoteThe file submission referenced in this post is no longer available on File Exchange. I'm a big fan of using the MATLAB Profiler and M-Lint to figure out ways to optimize the efficiency and... 더 읽어보기 >>

As our weekly readers know by now, I am a big fan of getting as much data as possible into a plot in a clear manner. David has done that in bubbleplot. In a normal scatter plot he has managed to... 더 읽어보기 >>

NoteThe file submission referenced in this post is no longer available on File Exchange. I love Google, and not just because it is the best performing stock I bought this year. Jonathan Archer... 더 읽어보기 >>

NoteThe file submission referenced in this post is no longer available on File Exchange.
I really enjoy a clever presentation of multi-dimensional data in a concise format. Miguel had a data set... 더 읽어보기 >>

R14 introduced a really useful panning function to MATLAB, but it works independently of zoom (i.e., you can either pan OR zoom). Sometimes, though, you really want to do both together: pan-zoom-pan... 더 읽어보기 >>

Doug and I have been getting flack from our Simulink buddies lately that we don't select enough Simulink-related submissions for Pick of the Week. Well, this submission should keep them quiet for a... 더 읽어보기 >>

NoteThe file submission referenced in this post is no longer available on File Exchange. Anybody who has worked with MATLAB's polar plot is aware of its limitations (can't change properties,... 더 읽어보기 >>

One of the first steps in analyzing images is to threshold the image. This converts an image from color to black and white, by setting every pixel below a threshold to black and above to white. ... 더 읽어보기 >>