Fundamental frequencies of square wave and sine wave

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SUMMARY

The fundamental frequency of a 50 kHz square waveform with a 50% duty cycle is 50 kHz, while the fundamental frequency of a 25 kHz sine waveform is 25 kHz. The square wave can be analyzed using the Fourier series, which decomposes it into sinusoidal components. The sine wave retains its single frequency component, making it straightforward to identify its fundamental frequency. Understanding these concepts is essential for analyzing periodic waveforms in signal processing.

PREREQUISITES
  • Fourier series analysis
  • Understanding of waveform characteristics
  • Basic knowledge of frequency and period calculations
  • Familiarity with Fast Fourier Transform (FFT) techniques
NEXT STEPS
  • Study Fourier series and its application in waveform analysis
  • Learn about the properties of square and sine waves
  • Explore Fast Fourier Transform (FFT) and its usage in signal processing
  • Investigate the relationship between duty cycle and frequency in square waves
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Electrical engineers, signal processing specialists, and students studying waveform analysis will benefit from this discussion.

galaxy_twirl
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Homework Statement



What are the fundamental frequencies for a 50 kHz square waveform of 50% duty cycle and a 25 kHz sinusoidal waveform, respectively? (The duty cycle of a square waveform is the ratio between the pulse duration and the pulse period.)

Homework Equations



2qv7di9.jpg

My teacher then gave an example to illustrate v(t) and cn. Hence, I have a feeling that I should use these formula to find the answer.
2lbdvk8.jpg

The Attempt at a Solution



I am at a loss of which equation to use because there are too many representations of v(t) and cn in my lecture notes. Nevertheless, I shall attempt o solve the above question.

For the square wave, with its frequency at 50kHz, which is f0, its period, 1/f0 is 2X10-5 seconds. I don't understand what does T stand for in the equation, but I assume it refres to the amount of time the signal was turned on. Since the signal is ON for half the time, T will be 1X10-5.

Hence, I will have
1zqav7d.png

Am I correct?

May I have some hints as to how to start the question for the part on sine wave?

Thank you everyone. :)
 
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The question asks for the fundamental frequencies of the given waveforms, one a square wave and the other a sine wave. You should be able to get to the answers without any math at all :)

The Fourier series represents a sum of frequency components, all of which are sinusoidal. In effect it breaks down a given periodic waveform into a series of sinusoidal frequency components.

A pure sine wave has only one component frequency, namely that of the sine wave itself. So you should be able to dispose of the 25 KHz sinewave easily enough.

The square wave can also be dealt with by inspection if you picture the largest sinewave that will fit its outline.
 
Hi gneill. Thank you for your help! :)

Ah I see. I determined the f0 in the lab by feeding in sinusoidal signals, square pulses and triangular waves into the FFT (Fast Fourier Transform) Oscilloscope and they all turned out to match the frequencies supplied by the signal generator regardless of the duty cycle. :)

gneill said:
The square wave can also be dealt with by inspection if you picture the largest sinewave that will fit its outline.

I know from my lecture notes that a sine wave can look like a square wave with squiggles when n becomes a larger number in sin(nx), as seen below:

3169gyb.jpg


Do you mean the above in your reply to my question on square wave? :) Just wondering, how do you know how large should the sine wave get into order to achieve a square waveform?

Thanks again! :D
 
galaxy_twirl said:
Do you mean the above in your reply to my question on square wave? :) Just wondering, how do you know how large should the sine wave get into order to achieve a square waveform?

I meant that by looking at a given square wave you should be able to see the period (or frequency) of the fundamental sine wave that fits its shape:
Fig1.gif

Determining the magnitude of that fundamental frequency for the Fourier series of the square wave is another matter :)
 
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Ah I see.

Thank you! :D
 

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