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’s wrong with the “plot” command ?
The plot command will basically display the samples in your .wav file in y-axis, the x-axis being the sample numbers.
A sample .wav file from Alesis Fusion Nylon String Guitar C4
I wrote this simple code
>> a=wavread(‘practice’);
>> b=a(:,1); // variable a contains two separate channels of audio. I took just one channel.
>>plot(b)
That gives me this graph ..
>> b=a(:,1); // variable a contains two separate channels of audio. I took just one channel.
>>plot(b)
That gives me this graph ..
Notice the x axis. The axis reaches up to like 10x104.That’s the sample indexes.
If you need to convert the x-axis to time, you need to divide the x-axis by the sampling frequency.
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