Continuous Time Fourier Series of h(t)e^(-4|t|)

In summary, the Continuous Time Fourier Series representation of the output is Y(jω) = 4/16 * ∑n=-∞ to ∞ X(n)δ (ω-2πn) where X(jω) and H(jω) are the Fourier transforms of x(t) and h(t), respectively. This can also be expressed as a convolution in the time domain, but it is easier to work with in the frequency domain.
  • #1
ryukyu
20
0
1. Determine the Continuous Time Fourier Series representation of the response where:

h(t)=e^(-4*|t|)

and

x(t)=summation n=-inf to inf of dirac(t-n) The attempt at a solution:

I used Laplace transforms to find the frequency response:
H(s) = 4/(16-s^2)

from what I recall isn't the x(t) simply going to return the h(t) since the shift n is from -inf to inf?

If so then the output response would be x(t) convolved with h(t) which is messy work to do, so I'm assuming things are easier kept in the frequency domain...?
 
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  • #2
From what I recall the Fourier series representation is the following,X(jω) = ∑n=-∞ to ∞ X(n)δ (ω-2πn) And H(jω) = 4/(16-ω^2)So the Continuous Time Fourier Series representation of the output would be:Y(jω) = X(jω)*H(jω) = 4/16 * ∑n=-∞ to ∞ X(n)δ (ω-2πn)
 
  • #3


Yes, you are correct. Since x(t) is a summation of delta functions, it can be written as the impulse response of an ideal low-pass filter with cutoff frequency 1/2π. This means that the Fourier transform of x(t) is simply H(jω), where ω is the frequency variable. Therefore, the Fourier series representation of the response would be H(jω) multiplied by the Fourier series of h(t).

In this case, since h(t) is an even function, the Fourier series of h(t) would only have cosine terms. Plugging in H(jω) = 4/(16+jω^2), we get:

H(jω) = 4/[16 + (ω^2 - jω)^2]
= 4/[16 + ω^4 + 2ω^2(-jω)]
= 4/[16 + ω^4 + 2ω^3]
= 4/[16 + (ω^2)^2 + 2(ω^2)^2]
= 4/[16 + 3(ω^2)^2]

Therefore, the Fourier series representation of the response would be:

x(t) convolved with [4/[16 + 3(ω^2)^2]]cos(ωt)

This can be simplified further using trigonometric identities, but it may not be necessary depending on the specific problem.
 

FAQ: Continuous Time Fourier Series of h(t)e^(-4|t|)

What is a Continuous Time Fourier Series?

A Continuous Time Fourier Series is a mathematical tool used to represent a periodic signal as a sum of sinusoidal functions. It helps in analyzing and understanding the frequency content of a continuous time signal.

What does h(t)e^(-4|t|) represent in the Continuous Time Fourier Series?

h(t)e^(-4|t|) is the signal that is being analyzed using the Continuous Time Fourier Series. It is multiplied by the exponential function e^(-4|t|) to represent a decaying signal.

How is the Continuous Time Fourier Series calculated?

The Continuous Time Fourier Series is calculated using the Fourier transform, which is a mathematical operation that converts a time domain signal into its frequency domain representation. The Fourier transform of h(t)e^(-4|t|) is then multiplied by a series of coefficients to obtain the final representation.

What is the significance of the -4 in the exponent of e^(-4|t|)?

The -4 in the exponent of e^(-4|t|) represents the decay rate of the signal. This means that the signal decreases in amplitude by a factor of e every time t increases by 1, resulting in a decaying signal.

Can the Continuous Time Fourier Series be used for non-periodic signals?

No, the Continuous Time Fourier Series is only applicable for periodic signals. For non-periodic signals, the Continuous Time Fourier Transform is used instead, which represents the signal in the frequency domain without assuming periodicity.

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