FFT Magnitude and Phase Spectrum using MATLAB (2024)

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FFT Magnitude and Phase Spectrum using MATLAB

FFT Magnitude and Phase Spectrum using MATLAB (1)


MATLAB Code

clc;
clear;
close all;

% Parameters
fs = 100; % Sampling frequency
t = 0:1/fs:1-1/fs; % Time vector

% Signal definition
x = cos(2*pi*15*t - pi/4) - sin(2*pi*40*t);

% Compute Fourier Transform
y = fft(x);
z = fftshift(y);

% Frequency vector
ly = length(y);
f = (-ly/2:ly/2-1)/ly*fs;

% Compute phase
phase = angle(z);

% Plot magnitude of the Fourier Transform
figure;
subplot(2, 1, 1);
stem(f, abs(z), 'b');
xlabel('Frequency (Hz)');
ylabel('|y|');
title('Magnitude of Fourier Transform');
grid on;

% Plot phase of the Fourier Transform
subplot(2, 1, 2);
stem(f, phase, 'b');
xlabel('Frequency (Hz)');
ylabel('Phase (radians)');
title('Phase of Fourier Transform');
grid on;

Output

FFT Magnitude and Phase Spectrum using MATLAB (2)

Copy the MATLAB Code from here

Parent Topics

Fourier Series and Fourier TransformFourier TransformMATLAB

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FFT Magnitude and Phase Spectrum using MATLAB (3)

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FAQs

How do you find the magnitude and phase response in MATLAB? ›

[ mag , phase , wout ] = bode( sys ) returns the magnitude and phase of the response at each frequency in the vector wout . The function automatically determines frequencies in wout based on system dynamics. This syntax does not draw a plot.

What is the magnitude and phase of the FFT? ›

The output of the FFT is a complex vector containing information about the frequency content of the signal. The magnitude tells you the strength of the frequency components relative to other components. The phase tells you how all the frequency components align in time.

How to plot the phase of FFT in MATLAB? ›

phase = angle(fft(x)) * 180/pi; figure; subplot(311); plot(x); subplot(312); plot(y);

What is the FFT of spectrum in MATLAB? ›

Y = fft(X); Because Fourier transforms involve complex numbers, plot the complex magnitude of the fft spectrum. The plot shows five frequency peaks including the peak at 0 Hz for the DC offset. In this example, the signal is expected to have three frequency peaks at 0 Hz, 50 Hz, and 120 Hz.

How do you find the magnitude and phase spectrum? ›

At each harmonic frequency, the signal has a magnitude and a phase that can be obtained from the complex exponential Fourier series coefficients cn. Using the complex exponential Fourier series, g(t) has frequency components at all positive and negative multiples of the fundamental frequency 1/T0.

How do you find the magnitude and phase of a frequency response? ›

To obtain the amplitude response, we take the absolute value of H(jω). To do this, we evaluate the magnitude of the numerator and the denominator separately. To obtain the phase response, we take the arctan of the numerator, and subtract from it the arctan of the denominator.

How to extract phase from FFT? ›

You can extract the phase referenced to the center of your data window by doing an fftshift (circular rotate by N/2) before the FFT. This is because, after an fftshift, atan2() always is related to the ratio of oddness to eveness of the data around its center (as decomposed to an odd function plus an even function).

What FFT algorithm does MATLAB use? ›

The most commonly used FFT algorithm is the Cooley-Tukey algorithm, which reduces a large DFT into smaller DFTs to increase computation speed and reduce complexity.

How to plot the spectrum in MATLAB? ›

spectrum = 10*log(abs(fftshift(fft(y))) / length(y)); %compute the FFT precision = fs/length(y); f = linspace(-fs/2+precision/2, fs/2-precision/2, length(y)); % Create the frequency axis and put the measure in the middle of the bin. plot(f,spectrum); And voilà.

What does the FFT spectrum indicate? ›

The resulting digital time record is then mathematically transformed into a frequency spectrum using an algorithm known as the Fast Fourier Transform, or FFT. The FFT is simply a clever set of operations which implements Fourier's theorem. The resulting spectrum shows the frequency components of the input signal.

How do you find magnitude in Matlab? ›

MATLAB - Magnitude of a Vector
  1. Take the product of the vector with itself, using array multiplication (. *). ...
  2. Use the sum function to get the sum of squares of elements of vector v. ...
  3. Use the sqrt function to get the square root of the sum which is also the magnitude of the vector v.

How to find the magnitude of a signal in Matlab? ›

[ mag , validOut ] = magAngle( X , validIn ) returns only the component magnitudes of X . To use this syntax, set OutputFormat to 'Magnitude' . Example: magAngle = dsphdl.

What is magnitude and phase response of a system? ›

The magnitude describes the strength of each frequency in the signal. The phase describes the sine/cosine phase of each frequency. The phase can also be thought of as the relative proportion of sines and cosines in the signal (i.e., a phase of zero contains only cosines and a phase of 90 degrees contains only sines).

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