Abstract:
The big reason for using frequency domain analysis rather than time domain analysis:
i) Acquire a measurement
ii) Identify the noise of the signal in the frequency domain
iii) Filter the unwanted signal.
If we have a noise in our measured signal, we can move from the time domain into the frequency domain to isolate the disturbance in your measurement.
Description:
If we want to describe it elaborately Fourier’s theorem states that any waveform in the time domain can be represented by the weighted sum of sines and cosines. In the frequency domain, we can separate conceptually the sine waves that add to form the complex time-domain signal.
Figure 1 shows single frequency components, which spread out in the time domain, as distinct impulses in the frequency domain.
Example:
Some measurements, such as noise or harmonic distortion, are difficult to quantify by inspecting the time waveform. When the same signal is displayed in the frequency domain by an FFT, you easily can measure the harmonic frequencies and amplitudes.
Frequency domain techniques can be use in conjunction with the S-domain (Laplace transform),whereas the time domain response of some circuits cannot be represented by Laplace functions. One example is the skin effect losses in coax cables, because the loss is proportional to √f.
The big reason for using frequency domain analysis rather than time domain analysis:
i) Acquire a measurement
ii) Identify the noise of the signal in the frequency domain
iii) Filter the unwanted signal.
If we have a noise in our measured signal, we can move from the time domain into the frequency domain to isolate the disturbance in your measurement.
Description:
If we want to describe it elaborately Fourier’s theorem states that any waveform in the time domain can be represented by the weighted sum of sines and cosines. In the frequency domain, we can separate conceptually the sine waves that add to form the complex time-domain signal.
Figure 1 shows single frequency components, which spread out in the time domain, as distinct impulses in the frequency domain.
Example:
Some measurements, such as noise or harmonic distortion, are difficult to quantify by inspecting the time waveform. When the same signal is displayed in the frequency domain by an FFT, you easily can measure the harmonic frequencies and amplitudes.
Frequency domain techniques can be use in conjunction with the S-domain (Laplace transform),whereas the time domain response of some circuits cannot be represented by Laplace functions. One example is the skin effect losses in coax cables, because the loss is proportional to √f.