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Hans Scharler
Last activity 2024 年 2 月 20 日

What is the MATLAB tip that you would share with your younger self?

I would tell myself to understand vectorization. MATLAB is designed for operating on whole arrays and matrices at once. This is often more efficient than using loops.

Matt J
Last activity 2024 年 1 月 29 日

3D polyshapes

Is there a reason for TMW not to invest in 3D polyshapes? Is the mathematical complexity of having all the same operations in 3D (union, intersection, subtract,...) prohibitive?

xiaoyan tian
Last activity 2024 年 1 月 4 日

How to get the information data in the generated image like this?

how can I do to get those informations?

Ben Pasquariello
Last activity 2023 年 12 月 21 日

NEW: Modeling Dynamic Systems Cheat Sheet

Explore all the capabilities for Modeling Dynamic Systems while keeping them handy with this Cheat Sheet - Download Now.

Image Analyst
Last activity 2024 年 2 月 16 日

My favorite sport to watch is

American style football

12%

Soccer / football

39%

baseball

basketball

12%

tennis or golf

rugby, track, cricket, racing, etc.

26%

3712 票

Toshiaki Takeuchi
Last activity 2023 年 12 月 13 日

Congratulations, Cris LaPierre, for achieving 10K reputation points!

Congratulations, @Cris LaPierre for achieving 10K reputation points.

You reached this milestone by providing valuable contribution to the community since you started answering questions in Since September 2018.

You provided 3984 answers and received 1142 votes. You are ranked #24 in the community. Thank you for your contribution to the community and please keep up the good track record!

MATLAB Central Team

Jan Studnicka
Last activity 2024 年 1 月 26 日

How to make corrplot from Econometrics Toolbox 2x faster?

Quick answer: Add set(hS,'Color',[0 0.4470 0.7410]) to code line 329 (R2023b).

Explanation: Function corrplot uses functions plotmatrix and lsline. In lsline get(hh(k),'Color') is called in for cycle for each line and scatter object in axes. Inside the corrplot it is also called for all axes, which is slow. However, when you first set the color to any given value, internal optimization makes it much faster. I chose [0 0.4470 0.7410], because it is a default color for plotmatrix and corrplot and this setting doesn't change a behavior of corrplot.

Suggestion for a better solution: Add the line of code set(hS,'Color',[0 0.4470 0.7410]) to the function plotmatrix. This will make not only corrplot faster, but also any other possible combinations of plotmatrix and get functions called like this:

h = plotmatrix(A);
% set(h,'Color',[0 0.4470 0.7410])
for k = 1:length(h(:)) 
    get(h(k),'Color');
end

Hans Scharler
Last activity 2024 年 3 月 1 日

New Community Feature: AI Chat Playground

The MATLAB AI Chat Playground is now open to the whole community! Answer questions, write first draft MATLAB code, and generate examples of common functions with natural language.

The playground features a chat panel next to a lightweight MATLAB code editor. Use the chat panel to enter natural language prompts to return explanations and code. You can keep chatting with the AI to refine the results or make changes to the output.

Give it a try, provide feedback on the output, and check back often as we make improvements to the model and overall experience.

Chen Lin
Last activity 2023 年 11 月 27 日

Vote on interesting MATLAB animations and win MATLAB T-shirts!

What amazing animations can be created with no more than 2000 characters of MATLAB code? Check out our GALLERY from the MATLAB Flipbook Mini Hack contest.

Vote on your favorite animations before Dec. 3rd. We will give out MATLAB T-shirts to 10 lucky voters!

Tips: the more you vote, the higher your chance to win.

Emma Farnan
Last activity 2023 年 11 月 28 日

Add alpha capability to "Line" class

I think it would be a really great feature to be able to add an Alpha property to the basic "Line" class in MATLAB plots. I know that I have previously had to resort to using Patch to be able to plot semitransparent lines, but there are also so many other functions that rely on the "Line" class.

For example, if you want to make a scatter plot from a table with things specified into groups, you can use ScatterHistogram or gscatter but since gscatter uses the Line class, you can't adjust the marker transparency. So if you don't want the histograms, you are stuck with manually separating it and using scatter with hold on.

Mishal Mohanlal
Last activity 2023 年 11 月 17 日

Compression only spring mass system

Hi Guys

Posting this based on a thought I had, so I don't really ahve any code however I would like to know if the thought process is correct and/or relatively accurate.

Consider a simple spring mass system which only allows compression on the spring however when there is tension the mass should move without the effect of the spring distrupting it, thus the mass is just thrown vertically upwards.

The idea which I came up with for such a system is to have two sets of dfferential equations, one which represents the spring system and another which presents a mass in motion without the effects of the spring.

Please refer to the below basic outline of the code which I am proposing. I believe that this may produce relatively decent results. The code essentially checks if there is tension in the system if there is it then takes the last values from the spring mass differential equation and uses it as initial conditions for the differential equation with the mass moving wothout the effects of the spring, this process works in reverse also. The error which would exist is that the initial conditions applied to the system would include effects of the spring. Would there be a better way to code such behaviour?

function xp = statespace(t,x,f,c,k,m)
    if (k*x(1)) positive #implying tension
      **Use last time step as initial conditions**
      **differential equation of a mass moving""
    end
    if x(1) negative #implying that the mass in now moving down therefore compression in spring
      **Use last time step as initial conditions**
      **differential equation for a spring mass system**
    end
end

Martin Ryba
Last activity 2023 年 12 月 12 日

AWGN SNR calibration for band limited signals

Seeing a colleague make this mistake (one I've had to fix multiple times in other's work too) makes me want to ask the community: would you like the awgn() function/blocks to give the option for creating a SNR at the bandwidth of the signal? Your typical flow is something like this:

Create a signal, usually at some nominal upsampling factor (e.g., 4) such that it's now nicely over sampled, especially if you're using a RRC or similar pulse shaping filter.
Potentially add a frequency offset (which might make the sample frequency even higher)
Add AWGN channel model for a desired SNR
Put this into your detector/receiver model

The problem is, when someone says, "I'm detecting XYZ at foo SNR," it should not magically improve as a function of the oversample. The problem isn't that awgn() generates white noise, that's what it's supposed to do and the typical receiver has noise across the entire band. The problem is that SNR is most properly defined as the signal power over the noise power spectral density times the signal's noise equivalent bandwidth. Now I looked and there's no handy function for computing NEBW for an input signal (there's just a function for assessing analysis windows). In practice it can get a bit tricky. The occupied bandwidth or HPBW are often close enough to the NEBW, we're usually not haggling over hundredths of a dB. So, in my not so humble opinion, the "measured" flag for awgn() should give an option for bandwidth matching or at least document the behavior better in the help page. All too often I'm seeing 3-6 (or worse) dB errors because people aren't taking the signal's bandwidth into account.

Chen Lin
Last activity 2023 年 11 月 10 日

Join Community Contest 2023: Unleash Your Creativity with MATLAB Animations!

You are invited to join our 2023 community contest – MATLAB Flipbook Mini Hack! This year’s contest revolves around creating interesting animations using MATLAB.

Whether you are a seasoned MATLAB user or just getting started, this contest offers a fantastic opportunity to showcase your skills, learn from others, and engage with the vibrant MATLAB Central community.

Timeframe

This contest runs for 4 weeks from Nov. 6th to Dec. 3rd.

How to play

Create a new animation or remix an existing one with up to 2,000 characters of code.
Simply vote on the animations you love!

Prizes

You will have opportunities to win compelling prizes, including Amazon gift cards, MathWorks T-shirts, and virtual badges. We will give out both weekly prizes and grand prizes.

Check out the gallery and vote on the animations you like.

The MATLAB Central Community team

David
Last activity 2023 年 10 月 31 日

See what's going on at MATLAB Central without leaving MATLAB 🙂

Here's a MATLAB class I wrote that leverages the MATLAB Central Interface for MATLAB toolbox, which in turn uses the publicy available Community API. Using this class, I've created a few Favorites that show me what's going on in MATLAB Central - without having to leave MATLAB 🙂

The class has a few convenient queries:

Results for the last 7 days
Results for the last 30 days
Results for the current month
Results for today

And supporting a bunch of different content scopes:

All MATLAB Central
MATLAB Answers
Blogs
Cody
Contests
File Exchange
Exclude Answers content

The results are displayed in the command window (which worked best for me) and link to each post. Here's what that looks like for this command

>> CommunityFeed.thisMonth("app designer", CommunityFeed.Scope.ExcludeAnswers)

Let me know if you find this class useful and feel free to suggest changes.

Ben Pasquariello
Last activity 2023 年 10 月 25 日

New Cheat Sheet for Organizing and Accessing Data in MATLAB

New Cheat Sheet Alert!

Level up your data organization and access skills in MATLAB with our latest cheat sheet! Download the full cheat sheet on MATLAB GitHub for Students here.

Adam Danz
Last activity 2023 年 12 月 9 日

Why do you save figure (.fig) files?

I rarely/never save .fig files

47%

Continue working on it later

16%

Archive for future reference

23%

Share within my organization

10%

Share outside my organization

Other (please leave a comment)

2097 票

Julian
Last activity 2024 年 2 月 5 日

Naming x-values in bar(x,y)

I know the latest version of MATLAB R2023b has this feature already, put it should be added to R2023a as well because of its simplicity and convenience.

Basically, I want to make a bar graph that lets me name each column in a basic bar graph:

y=[100 99 100 200 200 300 500 800 1000];

x=["0-4" "5-17" "18-29" "30-39" "40-49" "50-64" "65-74" "75-84" "85+"];

bar(x,y)

However, in R2023a, this isn't a feature. I think it should be added because it helps to present data and ideas more clearly and professionally, which is the purpose of a graph to begin with.

Matt J
Last activity 2024 年 3 月 1 日

Implicit expansion for CAT()

Would it be a good thing to have implicit expansion enabled for cat(), horzcat(), vertcat()? There are often situations where I would like to be able to do things like this:

 x=[10;20;30;40];
 y=[11;12;13;14];
 z=cat(3, 0,1,2);
 
 C=[x,y,z]
 

with the result,