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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FFT Magnitude and Phase Spectrum using MATLAB (2024)

FAQs

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.

What is the FFT of spectrum in MATLAB? ›

For real signals, the fft spectrum is a two-sided spectrum, where the spectrum in the positive frequencies is the complex conjugate of the spectrum in the negative frequencies. To show the fft spectrum in the positive and negative frequencies, you can use fftshift .

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.

How to calculate power spectral density from FFT MATLAB? ›

To compute the power spectral density using the FFT function, the absolute value FFT output has to be squared and scaled by (1/length(data))*(1/Fs) where Fs is the sampling frequency. This result is then converted to decibels.

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 to plot the phase of FFT in MATLAB? ›

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

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 formula in MATLAB? ›

Description. Y = abs( X ) returns the absolute value of each element in input X . If X is complex, abs(X) returns the complex magnitude.

How do you find the frequency spectrum of a signal in MATLAB? ›

In MATLAB®, the fft function computes the Fourier transform using a fast Fourier transform algorithm. Use fft to compute the discrete Fourier transform of the signal. y = fft(x); Plot the power spectrum as a function of frequency.

What is the power spectrum of the FFT? ›

Computations Using the FFT

The power spectrum shows power as the mean squared amplitude at each frequency line but includes no phase information. Because the power spectrum loses phase information, you may want to use the FFT to view both the frequency and the phase information of a signal.

What is the difference between FFT and PSD in Matlab? ›

The PSD and FFT are tools for measuring and analyzing a signal's frequency content. The FFT transfers time data to the frequency domain, which allows engineers to view changes in frequency values. The PSD takes another step and calculates the power, or strength, of the frequency content.

How do you estimate the power spectrum in Matlab? ›

Estimate the Power Spectrum Using spectrumAnalyzer. To view the power spectrum of a signal, you can use the spectrumAnalyzer System object™. You can change the dynamics of the input signal and see the effect those changes have on the power spectrum of the signal in real time.

What is the phase and magnitude of the frequency response? ›

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).

What are the phases of the FFT? ›

At its core is a focus on assessment and intervention to address risk and protective factors within and outside of the family that impact the adolescent and his or her adaptive development. FFT consists of five major components: engagement, motivation, relational assessment, behavior change and generalization.

What is the meaning of phase and magnitude? ›

The magnitude is the square root of the sum of the squares of the real and imaginary parts. The phase is relative to the start of the time record or relative to a single-cycle cosine wave starting at the beginning of the time record. Single-channel phase measurements are stable only if the input signal is triggered.

What is the magnitude of the Fourier transform? ›

The Fourier Transform amplitude simply tells you how much of each Logo black are in any contraption. The magnitude of each bin is the magnitude of that frequency component for that waveform in the time-domain, specifically when the time domain waveform is expressed as a sum of complex exponential frequencies.

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