filename = 'abc.mp3';
audioinfo(filename)
[y,Fs] = audioread(filen);
N = size(y,1);
t = [0:1/Fs:(N-1)/Fs];
f = ([0:1:N-1]/N-0.5)*Fs;
ys = y(:,1); %
plot(t);
Y = fft(ys,N);
magnitudeY = abs(Y);
plot(f,magnitudeY);
the part of code
Y = fft(ys,N);
magnitudeY = abs(Y);
plot(f,magnitudeY);
are not correct.i don't know how to plot frequency-domain representation using FFT.
PLOT the time waveform and its frequency-domain representation using FFT. Please also indicate the correct time and frequency index based on the sampling rate and data length
Amplitude=3; fs=8000; n=0:399; t=0:1/fs: n*1/fs-1/fs; signal=3+3*cos(2*pi*1100*t)+3*cos(2*pi*2200*t)+3*cos(2*pi*3300*t); fftSignal= fft(signal); fftSignal=f ftshift (fftSignal); f=fs/2*linspace(-1,1,fs); plot(f,abs(fftsignal); xlabel('Frequency(Hz)’) ylabel('amplitude(v)') title('Spectral domain') plz code above using For ..End loop to archive the same results.
Why we define ''f'' with between -fs/2 and fs/2. %fft DSB modulation; ts-1/fs tmax-(N-1)*ts; t-0:ts:tmax f--fs/2:fs/(N-1):fs/2; y2-fftshiftlftlv subplot(10,1,6) plot(f,y2) title('fft DSB Modulation of Signal' %fft DSB modulation; ts-1/fs tmax-(N-1)*ts; t-0:ts:tmax f--fs/2:fs/(N-1):fs/2; y2-fftshiftlftlv subplot(10,1,6) plot(f,y2) title('fft DSB Modulation of Signal'
Program from problem 1: (Using MATLAB) % Sampling frequency and sampling period fs = 10000; ts = 1/fs; % Number of samples, assume 1000 samples l = 1000; t = 0:1:l-1; t = t.*ts; % Convert the sample index into time for generation and plotting of signal % Frequency and amplitude of the sensor f1 = 110; a1 = 1.0; % Frequency and amplitude of the power grid noise f2 = 60; a2 = 0.7; % Generating the sinusoidal waves...
Can you please help me answer Task 2.b? Please show all work. fs=44100; no_pts=8192; t=([0:no_pts-1]')/fs; y1=sin(2*pi*1000*t); figure; plot(t,y1); xlabel('t (second)') ylabel('y(t)') axis([0,.004,-1.2,1.2]) % constrain axis so you can actually see the wave sound(y1,fs); % play sound using windows driver. %% % Check the frequency domain signal. fr is the frequency vector and f1 is the magnitude of F{y1}. fr=([0:no_pts-1]')/no_pts*fs; %in Hz fr=fr(1:no_pts/2); % single-sided spectrum f1=abs(fft(y1)); % compute fft f1=f1(1:no_pts/2)/fs; %% % F is the continuous time Fourier. (See derivation...
NB! This task is required to be solved in matlab. this task also requires the use of the function displayDualSpectrum(); which i have pasted in the bottom. the tasks that i need help with are A), B) and C). this is a multi-part question. Task - Frequency mixing We use a basic signal that can be described mathematically as follows: with this We shall then make an amplitude modulated signal: where fc is the carrier frequency. the code below specifies...
Question 5: Find the exact solutions in the time domain using dsolve. Recall the matrix representation for our two-vessel water clock is: d又 -=Ax, where A= DE: Hint: Start with the code below. Then enter A, x0, and the DE. Use dsolve. syms yl (t) y2 (t) Use dot notation to access the components of the solution Question 5: Record your solution for the two unknowns y1(t) and y2(t). The first is given for you y2 (t) = y, (t)...
- Frequency Response (Amplitude Response only). Hz). with frequency, 22. for a discrete time system shown below. *(-1) - x[-2] - ... -0 and yf-1) - Y[-2] ... - x[r] - int) Find “Math Model" for the system. nt) Find "Transfer Function" for the system. Draw the pole-zero plot for the system (use unit circle on Re-Im axis) Sketch the amplitude response of the system → indicate values at important points (92 = 0, 1/4, 21/4, 37/4, T) include detailed...
You are given a finite step function xt=-1 0<t<4 1 4<t<8. Hand calculate the FS coefficients of x(t) by assuming half- range expansion, for each case below. Modify the code below to approximate x(t) by cosine series only (This is even-half range expansion). Modify the below code and plot the approximation showing its steps changing by included number of FS terms in the approximation. Modify the code below to approximate x(t) by sine series only (This is odd-half range expansion).. Modify...
Signal xo(t) 5 cos (200π1+ 품 ) + 4 sin (300π) is sampled at a rate of Fs = 1 kHz to obtain the discrete-time signal x[n]. (a) Determine the spectrum X(ej ) of x[n] and plot its magnitude as a function of ω rad sam in tad and as a function of F in Hz. Explain whether the original signal xe(t) can be recovered from xln]. (b) Repeat part (a) for 500 Hz. (c) Repeat part (a) for 100...
10. Find the Fourier transform of a continuous-time signal x(t) = 10e Su(t). Plot the magnitude spectrum and the phase spectrum. If the signal is going to be sampled, what should be the minimum sampling frequency so that the aliasing error is less than 0.1 % of the maximum original magnitude at half the sampling frequency. 11. A signal x(t) = 5cos(2nt + 1/6) is sampled at every 0.2 seconds. Find the sequence obtained over the interval 0 st 3...