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How MATLAB makes the distinction between P-Cores and E-Cores?

  It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? 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...
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Trying to make a chirp (sweep) in matlab with random frequency

 Hi guys!

 
I have been trying to make a chirp function in which the frequency is changing randomly through the time
 
my parameters are this t1=0 t2=1 f1=0 f2=60
 
I have tried the chirp function of matlab, however, the frequency is linearly increasing but I also want that it could decrease.
 
Any ideas?
 
Thanks in advance


ANSWER



Matlabsolutions.com provide latest MatLab Homework Help,MatLab 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.


It's not really a chirp if you want to have the frequencies vary more or less randomly up and down. But anyway, to make a  signal with random frequencies:

 

t = linspace(0, 100, 400);
amplitude = 3;
% Make random frequencies.
frequency = .04 + .04 * rand(1, length(t));
% Construct waveform.
y = amplitude * cos(2 .* pi .* frequency .* t);
plot(t, y, 'b-');
grid on;
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0, 1, 1]);

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