Use Fourier analysis to construct an amplitude spectrum

In summary, the period of the function y(t) = |sin(120\pit)| is 1/60. The function can be treated as even, allowing the use of the half range cosine formulas to find the amplitude spectrum.
  • #1
luckyduck
7
0

Homework Statement



A sensor yields a signal y(t) = |sin(120[itex]\pi[/itex]t)|
a. Using Fourier analysis please construct an amplitude spectrum for this signal.

Homework Equations


A0 = [itex]\frac{1}{T}[/itex][itex]\int ^{-T/2}_{T/2}y(t) dt[/itex]
An =[itex]\frac{2}{T}[/itex][itex]\int^{-T/2}_{T/2}y(t)cos\frac{2n\pi t}{T}dt[/itex]

The Attempt at a Solution


Because y(-t) = y(t), the function is even, and we can ignore Bn.

My question is: what is the period? In prior examples, we used T = 2[itex]\pi[/itex].
Therefore, will:
A0 = [itex]\frac{1}{2\pi}[/itex] [itex]\int^{-\pi}_{\pi}[/itex] |sin(120[itex]\pi[/itex]t)| dt?
 
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  • #2
luckyduck said:

Homework Statement



A sensor yields a signal y(t) = |sin(120[itex]\pi[/itex]t)|
a. Using Fourier analysis please construct an amplitude spectrum for this signal.

Homework Equations


A0 = [itex]\frac{1}{T}[/itex][itex]\int ^{-T/2}_{T/2}y(t) dt[/itex]
An =[itex]\frac{2}{T}[/itex][itex]\int^{-T/2}_{T/2}y(t)cos\frac{2n\pi t}{T}dt[/itex]

The Attempt at a Solution


Because y(-t) = y(t), the function is even, and we can ignore Bn.

My question is: what is the period? In prior examples, we used T = 2[itex]\pi[/itex].
Therefore, will:
A0 = [itex]\frac{1}{2\pi}[/itex] [itex]\int^{-\pi}_{\pi}[/itex] |sin(120[itex]\pi[/itex]t)| dt?

The period of ##\sin(bt)## is ##2\pi /b## so the period of your function without the absolute values would be$$
T=\frac{2\pi}{120\pi}=\frac 1 {60}$$I would use that in half range formula. Note that by using the half range formula you can drop the absolute value.
 
Last edited:
  • #3
Thank you!

By half range, do you mean integrating between 0 and 30?
 
  • #4
Also, would this mean that the function is now odd?
 
  • #5
luckyduck said:
Thank you!

By half range, do you mean integrating between 0 and 30?

No. Half the period would be 1/120.

luckyduck said:
Also, would this mean that the function is now odd?

No. You use the half range cosine formulas which gives the even extension of the function, which has the same effect as the absolute values. Look at the half range formulas in your text.
 
  • #6
Duh! Brain fart. Sorry, I don't have a text for this class, so I've been relying on google. Thanks again for your help!
 

1. What is Fourier analysis and how does it relate to amplitude spectra?

Fourier analysis is a mathematical technique used to break down a complex waveform into simpler components of different frequencies. An amplitude spectrum, also known as a power spectrum, is a visual representation of the amplitudes of these frequency components.

2. Why is Fourier analysis useful in constructing an amplitude spectrum?

Fourier analysis allows us to identify the various frequencies present in a signal or waveform, which is important in understanding its characteristics and behavior. By constructing an amplitude spectrum, we can clearly see the amplitudes of these frequencies and how they contribute to the overall signal.

3. How do you perform Fourier analysis to construct an amplitude spectrum?

To construct an amplitude spectrum, you first need to collect data from the signal or waveform of interest. Next, you use a mathematical algorithm, such as the Fast Fourier Transform (FFT), to analyze the data and determine the frequencies and their respective amplitudes. Finally, you plot the amplitudes on a graph to create the amplitude spectrum.

4. What are the applications of using Fourier analysis to construct an amplitude spectrum?

Fourier analysis and amplitude spectra have various applications in different fields, such as signal processing, audio and image processing, and vibrations analysis. They can be used to identify and filter out noise from signals, extract useful information from complex data, and understand the behavior of physical systems.

5. Are there any limitations or challenges in using Fourier analysis to construct an amplitude spectrum?

One limitation of Fourier analysis is that it assumes the signal is periodic, meaning it repeats itself infinitely. This may not always be the case in real-world signals, which can result in inaccuracies in the amplitude spectrum. Additionally, the resolution of the spectrum is limited by the length of the data and the frequency resolution of the algorithm used.

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