Please help with MATLAB code!! And please explain it to me because I am very lost!!

3.1 Sampling and the Sampling Theorem (a) Create a discrete-time signal by sampling a 440 Hz sinusoid (t) = cos(2m(440)I) that is two seconds in duration, O S t > [cl ,fs] audioread(,Clarinet , wav'); = Alternatively, if you are having trouble with audioread, you may load the Lab05.mat file >> load('Lab05'); which will give you the sampling frequency fs along with the audio file stored in c1 Question: What is the sampling rate used to create this sampled clarinet signal, and how long is the signal in seconds? (d) Make a plot of your clarinet signal for values of time t over the interval 1 > ff=linspace (-fs/2,fs/2,length (c1)); >> plot(ff,abs(fftshift(fft(c1)))) (f) The spectrum that you found in part (e) supports the claim that the clarinet signal is well- approximated by a sum of harmonically related sinusoids of the form, 3.1 Sampling and the Sampling Theorem (a) Create a discrete-time signal by sampling a 440 Hz sinusoid (t) = cos(2m(440)I) that is two seconds in duration, O S t > [cl ,fs] audioread(,Clarinet , wav'); = Alternatively, if you are having trouble with audioread, you may load the Lab05.mat file >> load('Lab05'); which will give you the sampling frequency fs along with the audio file stored in c1 Question: What is the sampling rate used to create this sampled clarinet signal, and how long is the signal in seconds? (d) Make a plot of your clarinet signal for values of time t over the interval 1 > ff=linspace (-fs/2,fs/2,length (c1)); >> plot(ff,abs(fftshift(fft(c1)))) (f) The spectrum that you found in part (e) supports the claim that the clarinet signal is well- approximated by a sum of harmonically related sinusoids of the form