Fourier representation of CT peridic signals

In summary, the Fourier coefficients for the signal \cos^2(2 \pi t) can be found using the identity \frac{1}{2} + \frac{\cos(2 \pi t)}{2} and the complex definition \frac{1}{2} + \frac{1}{4} (\exp{j2 \pi t} + \exp{-j2 \pi t}). From the synthesis equation, the coefficients are a_0 = \frac{1}{2} and a_1 = \frac{3}{4}.
  • #1
mbaron
6
0
I want to find the Fourier coefficients for the following signal:

[tex] \cos(2 \pi t)^2 [/tex]

Can I simply use the identity?:

[tex] \frac{1}{2} + \frac{\cos(2 \pi t)}{2} [/tex]

And then use the complex definition:

[tex] \frac{1}{2} + \frac{1}{4} (\exp{j2 \pi t} + \exp{-j2 \pi t}) [/tex]From the synthesis equation I can get:
[tex] a_0 = \frac{1}{2} [/tex], [tex] a_1 = \frac{3}{4} [/tex]

Thanks
 
Last edited:
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  • #2
[tex] \cos(2 \pi t)^2 [/tex] is a strange (non-standard) notation.

If you mean [tex] \cos^2(2 \pi t)[/tex] then your method is almost correct - it equals [tex] \frac{1}{2} + \frac{\cos(4 \pi t)}{2} [/tex]


If you mean [tex] \cos(4 \pi^2 t^2)[/tex] then it is not.
 
Last edited:
  • #3
I meant the first, and thanks for the correction.
 

Related to Fourier representation of CT peridic signals

What is the Fourier representation of CT periodic signals?

The Fourier representation of CT periodic signals is a mathematical tool used to express a periodic signal as a sum of sinusoidal functions with different frequencies, amplitudes, and phases. It allows for the analysis of periodic signals in terms of their frequency components.

Why is the Fourier representation of CT periodic signals useful?

The Fourier representation of CT periodic signals is useful because it can provide insight into the frequency components of a signal, which can help in signal processing, filtering, and compression. It also allows for easier manipulation and analysis of periodic signals.

What is the difference between the Fourier representation of CT periodic signals and the Fourier series?

The Fourier representation of CT periodic signals is a continuous function that represents a periodic signal, while the Fourier series is a summation of discrete coefficients that approximate a periodic signal. The Fourier representation provides a more accurate representation of the signal, but the Fourier series is more practical for computation.

How is the Fourier representation of CT periodic signals calculated?

The Fourier representation of CT periodic signals is calculated using an integral equation known as the Fourier transform. This involves integrating the signal over its entire period and multiplying it by a complex exponential function. The result is a complex-valued function that represents the signal in the frequency domain.

What are some applications of the Fourier representation of CT periodic signals?

The Fourier representation of CT periodic signals has many applications, including in digital signal processing, image processing, and audio compression. It is also widely used in engineering, physics, and other scientific fields for analyzing and understanding periodic phenomena.

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