The examples provided in the documentation of following MATLAB Script function might use functions that are not available in MATLAB Script (e.g., plot, figure, subplot, wvtool, dfilt, fvtool, fdesign, RandStream). These examples are for illustration purposes and may not run successfully inside S...
The examples provided in the documentation of following MATLAB Script function might use functions tha...
When I plot the frequency domain the power is not 3 and 5 as I expect. I read the documentation for fft() and cannot figure out how to normalize my fft properly. Can someone explain the procedure to normalize the cosines and a Gaussian wave? Thanks clear all; %generate the signal t ...
When I plot the frequency domain the power is not 3 and 5 as I expect. I read the documentation for fft() and cannot figure out how to normalize my fft properly. Can someone explain the procedure to normalize the cosines and a Gaussian wave? Thanks clear all; %generate the signal t ...
The documentation for FFT has the following example: Fs = 1000;% Sampling frequency T = 1/Fs;% Sample time L = 1000;% Length of signal t = (0:L-1)*T;% Time vector % Sum of a 50 Hz sinusoid and a 120 Hz sinusoid x = 0.7*sin(2*...
When I plot the frequency domain the power is not 3 and 5 as I expect. I read the documentation for fft() and cannot figure out how to normalize my fft properly. Can someone explain the procedure to normalize the cosines and a Gaussian wave? Thanks clear all; %generate the signal t ...
This MATLAB function computes the discrete Fourier transform (DFT) of X using a fast Fourier transform (FFT) algorithm.
This MATLAB function computes the discrete Fourier transform (DFT) of X using a fast Fourier transform (FFT) algorithm.
When I plot the frequency domain the power is not 3 and 5 as I expect. I read the documentation for fft() and cannot figure out how to normalize my fft properly. Can someone explain the procedure to normalize the cosines and a Gaussian wave? Thanks clear all; %generate the signal t ...
To compensate analytically for the notion that no negative frequencies exist, the symmetrical negative frequency components are truncated using Y(1:NFFT/2) and the positive frequency components are multiplied by two instead.