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
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);
Homework Answers
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.
Add Answer to:
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)’) yla
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('...
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'
how to do laplace transform on a signal that is in frequency domain. I have a...
how to do laplace transform on a signal that is in frequency domain. I have a signal that is in time domain and i used fft to plot it in the frequency domain, is there a way i could plot it in s domain. I know that i could do laplace transform directly from time domain to s domain, but I need to find out are these two results match each other. Fs = 4; % samples per second dt...
Need help converting the following code from Matlab into Python: N=2048; fs=4.9; t=0:1/fs:(N-1)/fs; fs1=200; t1=0:1/fs1:(N-1)/fs1; x2=0.5+0.6366.*cos(2.*pi.*t1)+0.1273.*cos(10.*pi.*t1)-0.0909.*cos(14.*pi.*t1);...
Need help converting the following code from Matlab into Python: N=2048; fs=4.9; t=0:1/fs:(N-1)/fs; fs1=200; t1=0:1/fs1:(N-1)/fs1; x2=0.5+0.6366.*cos(2.*pi.*t1)+0.1273.*cos(10.*pi.*t1)-0.0909.*cos(14.*pi.*t1); x=0.5+0.6366.*cos(2.*pi.*t)+0.1273.*cos(10.*pi.*t)-0.0909.*cos(14.*pi.*t); X=fftshift(fft(x)); f=linspace(-fs/2,fs/2,N); plot(f,abs(X)./N); xlabel('f'); ylabel('|F(f)|'); title('magnitude spectrum of sampled signal'); x1=ifft(fftshift(X)); figure plot(t(1:100),x1(1:100)); xlabel('t'); ylabel('f(t)'); title('f(t) obtained by inverse transform'); figure plot(t1(1:1000),x2(1:1000)); xlabel('t'); ylabel('f(t)'); title('original f(t)');
Program from problem 1: (Using MATLAB) % Sampling frequency and sampling period fs = 10000; ts...
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...
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...
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...
Study the provided MATLAB programs entitled fft_spectrum, plot_fft_spectrum, and test_fft_spectrum. Using the program test_fft_spectrum, plot the...
Study the provided MATLAB programs entitled fft_spectrum, plot_fft_spectrum, and test_fft_spectrum. Using the program test_fft_spectrum, plot the approximate magnitude and phase spectra of the functions given in problem 3.2-1. Adjust your time axis so that the frequency plots are scaled conveniently, and important features of the time and frequency plots are clearly visible. This can be done by experimenting with the values of N, tmin, and tmax. And the 3.2-1 problems are: (a) pi(t/3) (b) Delta (3x/100) (c) pi (t-5/4) (d)...
Question 5: Find the exact solutions in the time domain using dsolve. Recall the matrix representation for our two-vess...
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...
- 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...
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...
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