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How to change x-axis ticks labels in stackedplot?

  h = stackedplot(rand(6,3));   I want to set x-axis ticks according to my own defined set i.e., instead of 1:6, I want to replace x-axisticks [1, 2,3 ,4,5,6] to ['A', 'S','T', 'AAA', 'BBB', 'ZZZ'] , by rotating it to 90 degree that is vertically insted of horizontally?     NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. There does not seem to be an easy way to set the  XTick  or  XTickLabel  of a  StackedLineChart  object (such as what's created by  stackedplot ):   data = rand(6,3); h = stackedplot(1:6,data); % try a couple of things, neither of which work try set(h,'XTick',1:6,'XTic
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What exactly is operating frequency in creating a beamformer object?

 So, As an introduction to learn about beamforming, I took single frequency signals at two different points on 2D plane , say 1Khz and 3 Khz. Now, I gave fs= 8000( fs>2fmax (nyquist theorem); fmax=3Khz), Now while creating the beamformer object, I gave the operating frequency as 3.5Khz( assuming that these are the range of frequencies of the input signals to beamformer), But matlab shows an error saying that op.freq must be less than twice sampling frequency!! Isn't this an violaton of nyquist theorem? Or what exactly does this operating frequency mean in the context of creating a beamforming object mean?


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You are using a subband beamformer. These beamformer assumes that the signal is modulated to a carrier frequency, i.e., the operating frequency of the beamformer. The signal is then divided into subbands across the entire bandwidth around the carrier. The total bandwidth that can be represented by a signal is specified by its sampling frequency.
 
Thus, the largest banwidth a signal can have is twice the operating frequency, i.e., the total bandwidth in this case becomes 0 to twice of the carrier frequency.
 
From the description of your signal, it seems you are not modeling modulated bandpass signals. Therefore, this may not be the best

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