Average Power for Frequency < Fundamental Frequency: An Analysis

In summary, the conversation discusses a periodic signal with a period of 10 ms and an amplitude of 2. The signal is a rectangular pulse from -5/2 to 5/2 and 0 from 5/2 to 19/2, with a fundamental frequency of 100Hz. The signal is then passed through a filter with a response of 1/(1+jf/f0), and the average power is calculated using a trigonometric Fourier series expansion for frequencies of 100Hz, 200Hz, etc. The conversation then poses the question of what the average power would be at a frequency of 50Hz, and whether there is even an average power for frequencies less than the fundamental frequency. However,
  • #1
sarveshkumarv
6
0
We have a periodic signal of period 10 ms and amplitude 2.The signal is a rectangular pulse from -5/2 to 5/2 and 0 from 5/2 to 19/2.This signals fundamental frequency(f0) is 100Hz.It is passed through a filter whose response is 1/(1+jf/f0.I calculated the average power using the trignometric Fourier series expansion.I get the average total power for f=100,200 etc.But what will be the average power for f=50Hz.Will there be an average power for a freq less than fundamental frequency.Because we get nf0=f.For f=50Hz n=1/2.But the trignometric Fourier expansion talks only about the integer values of n.So wat is the avg power at f=50 Hz?
 
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  • #2
This signal doesn't have a component at 50Hz. It only has the DC component, the fundamental and the components at positive integer multiples of the fundamental frequency (the harmonics).
 
  • #3


The average power for a frequency below the fundamental frequency can still be calculated using the trigonometric Fourier series expansion. In this case, the value of n would be a non-integer, but it can still be approximated using the concept of fractional harmonics. The average power for a frequency of 50Hz would be the average total power for the harmonic with a frequency of 50Hz, which would be the first fractional harmonic with n=1/2.

It is important to note that the average power for a frequency below the fundamental frequency may not be accurate, as the filter response may not be well-defined for frequencies below the fundamental frequency. In this case, it would be more appropriate to use a different method of calculating average power, such as the Parseval's theorem.

In conclusion, although the trigonometric Fourier series expansion may not directly address frequencies below the fundamental frequency, it is still possible to approximate the average power for these frequencies using the concept of fractional harmonics. However, it is important to consider the limitations of the filter response and use alternative methods if necessary.
 

Related to Average Power for Frequency < Fundamental Frequency: An Analysis

What is the purpose of analyzing average power for frequency below the fundamental frequency?

The purpose of this analysis is to understand the distribution of power across different frequency components in a signal. By examining the average power for frequencies below the fundamental frequency, we can gain insights into the harmonic content and potential distortions present in the signal.

How is average power for frequency below the fundamental frequency calculated?

Average power for frequency below the fundamental frequency is calculated by taking the square of the amplitude at each frequency component, summing them up, and dividing by the total number of frequency components. This gives us an average value of power for the frequencies below the fundamental frequency.

What does a high average power for frequency below the fundamental frequency indicate?

A high average power for frequency below the fundamental frequency can indicate the presence of harmonics in the signal. This means that there are frequency components present in the signal that are multiples of the fundamental frequency. It can also indicate the presence of distortions in the signal.

Can average power for frequency below the fundamental frequency be negative?

No, average power for frequency below the fundamental frequency cannot be negative. Power is always a positive quantity, and therefore the average power for any frequency component will also be positive.

How can the analysis of average power for frequency below the fundamental frequency be useful?

The analysis of average power for frequency below the fundamental frequency can be useful in a variety of applications such as audio and signal processing. It can help identify the presence of harmonic content and distortions in a signal, which can then be addressed or utilized for specific purposes.

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