Question about Fourier Series (symmetrical signals)

In summary, the conversation is about clarifying a line in relation to Fourier Series, specifically regarding the even and odd functions of x(t) when multiplied by cos and sin. The speaker also mentions the process of finding amplitudes in the Fourier representation.
  • #1
Peon666
108
0
Hi all!

I wanted to have a little clarification about this line in relation to Fourier Series: (It's about a periodic and symmetrical signal)

"x(t) is a periodic signal. As cos nwt is an even function and sin nwt is an odd function. So, if x(t) is an even function of t, then x(t) cos nwt is also an even function and x(t) sn nwt is an odd function of t.

Similarly, if x(t) is an odd function of t, then x(t) cos nwt is an odd function of t and x(t) sin nwt is an even function of t."
- Linear Signal & Systems, B.P Lathi.

x(t) is both cos and sin functions multiplied right? And isn't it that an when an even function is multiplied with an odd function, we get an odd function? So how can be x(t) even? (as in the above excerpt)

Thanks.
 
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  • #2
"x(t) is both cos and sin functions multiplied right? "

The Fourier representation is the sum of cos and sin at different frequencies and amplitudes (instead of multiplying them) But to find the amplitudes we have to multiply the function being represented with cos and sin (along with more steps that can be found on wiki)
 

FAQ: Question about Fourier Series (symmetrical signals)

What is a Fourier Series?

A Fourier Series is a mathematical tool used to represent a periodic function as a sum of simpler trigonometric functions.

What is a symmetrical signal?

A symmetrical signal is a periodic signal that is symmetric about a specific point, such as the midpoint or the origin.

How is a symmetrical signal represented in a Fourier Series?

A symmetrical signal can be represented in a Fourier Series by using only cosine terms, since it is symmetric about the y-axis.

What is the difference between a Fourier Series and a Fourier Transform?

A Fourier Series represents a periodic function as a sum of simpler trigonometric functions, while a Fourier Transform represents a non-periodic function as a sum of continuous frequencies.

Why is the Fourier Series useful in signal processing?

The Fourier Series is useful in signal processing because it allows us to break down complex signals into simpler components, making it easier to analyze and manipulate the signal. It is also used in applications such as filtering, compression, and noise reduction.

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