How can i plot a unit step function or a piecewise function in Matlab? ie: h(t)=u(t-2)-u(t-4)? or another example: h(t)={0 for t<0, 1 for 2<t<3, 0 for t>3 Also, how can i plot a periodic square wave with thresholds in matlab?
Here is an example of plotting the unit ramp function : https://www.mathworks.com/help/signal/gs/impulse-step-and-ramp-functions.html You could extend the above concept to plot the required ramp function. Additionally, if you are looking to plot a time response, thelsimfunction could be us...
Explore three ways to visualize the frequency response of an LTI system: the Nichols chart, the Nyquist plot, and the Bode plot. Learn about each method, including their strengths, and why you may choose one over another.
Data to plot as a colored surface, specified as the comma-separated pair consisting of"ColorMapData"and a column vector with the number of elements that equals the number of points in the mesh. Typically, this data is the solution returned bysolvepdefor a scalar PDE problem and a component...
Step 1: Create a Context Menu In the `startupFcn` of your app, create a context menu and assign it to the `UIAxes`. functionstartupFcn(app) % Create context menu c = uicontextmenu(app.UIFigure); % Create menu items uimenu(c,'Text','Edit Line','MenuSe...
A plot of 'f' (frequency) versus 't' (time) in Matlab for non-linear frequency modulated signalNorm of First-order Trust-region Iteration Func-count ||f(x)||^2 step optimality radius 0 2 0.811474 0.879 1 ...
Suppose that you want to allow the system to evolve from a known set of initial states with no input for 2 s, and then apply a unit step change. Specify the vectorx0of initial state values, and create the input vector. x0 = [-0.2 0.3]; t = 0:0.05:8; u = zeros(length(t),...
The step function jumps from 0 to 1/10 at the smallest observation in a sample of size 10. This suggests that the probability of a future observation being smaller than the smallest one already observed is 0. The sample does not allow determination of the true probability. The probability....
The basic idea is to control for variation in experimental units by studying the change of experimental unit values. This differs from QQ plots in that the study unit is the basis for pairing values rather than cumulative percentages. Figure 9 shows a paired comparison plot for two low-...
'equal': Set equal scaling (i.e., one unit along each axis corresponds to the same physical distance). 'scaled': Set equal scaling, but not necessarily the same physical distance along each axis. 'tight': Set the axis limits to the data limits. ...