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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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What are the advantages of DSP over ASP?

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.
I’m assuming you are referring to “Digital Signal Processing” versus “Analog Signal Processing.”
Digital signal Processing takes place after a signal (presumably analog) is quantized and then digitized. The resulting data stream is run through digital filters to achieve a desired effect and then converted back into analog.
Analog Signal Processing uses analog filters to directly alter the signals fed into it.
Why are digital processing methods superior to analog ones?
For one thing, digital signals can be EXACTLY reproduced — something impossible for analog ones. Another advantage is that digital filters can be “undone” precisely and reversed to generate the original signal — another thing that is impossible with analog.
Lastly, since digital filters are subject to purely mathematical manipulations which would be difficult if not impossible to accomplish by stacking ever-more-convoluted analog circuits, they are preferred for complicated post-Processing tasks.

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