Fourier Transform using Transform Pair and Properties

In summary: F}[(t^{3}u(t))].Step 5: Use the Fourier transform pairFinally, we can use the Fourier transform pair to find the Fourier transform of (t^{3}u(t)). The Fourier transform of t^{3}u(t) is \frac{3!}{(jω)^{4}} = \frac{6}{(jω)^{4}}. Therefore, our final answer is \frac{1}{6}e^{-6}\frac{6}{(jω)^{4}} = \frac{1}{(jω)^{
  • #1
Mastur
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Homework Statement


Finding the Fourier Transform using Transform Pair and Properties
x(t) = 2[u(t+1)- t[itex]^{3}[/itex]e[itex]^{6t}[/itex]u(t)]

Homework Equations



The Attempt at a Solution


For the first problem, I got
u(t) [itex]\leftrightarrow[/itex] ∏δ(ω)+[itex]\frac{1}{jω}[/itex]
F(at-t[itex]_{0}[/itex]) [itex]\leftrightarrow[/itex] [itex]\frac{1}{|a|}[/itex]F([itex]\frac{ω}{a}[/itex])e[itex]^{-jt_{0}(\frac{ω}{a})}[/itex]
The problem is I don't know what's next and where will I get the t[itex]^{6}[/itex] and e[itex]^{6t}[/itex]. I don't even know what to do next. Please guide me.

Hopefully when I know already how to do this, I will be able to do other problems by myself.
 
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  • #2




Thank you for your post. Finding the Fourier Transform using Transform Pair and Properties can be a challenging task, but with some guidance, you can easily solve this problem and understand the process for future problems. Let's break down the steps for finding the Fourier Transform of x(t) = 2[u(t+1)- t^{3}e^{6t}u(t)].

Step 1: Apply the time-shift property
The time-shift property states that if x(t) \leftrightarrow X(ω), then x(t-t_{0}) \leftrightarrow X(ω)e^{-jt_{0}ω}. In our problem, we have t^{3}e^{6t}u(t), which can be rewritten as (t^{3}u(t))e^{6t}. Using the time-shift property, we can rewrite this as (t^{3}u(t))e^{6(t-1)} = (t^{3}u(t))e^{6t}e^{-6}.

Step 2: Apply the scaling property
The scaling property states that if x(t) \leftrightarrow X(ω), then x(at) \leftrightarrow \frac{1}{|a|}X(\frac{ω}{a}). In our problem, we have (t^{3}u(t))e^{6t}, which can be rewritten as (t^{3}u(t))e^{6t}e^{0}. Using the scaling property, we can rewrite this as \frac{1}{6}(t^{3}u(t))e^{6t}.

Step 3: Apply the time-shifting property again
We now have (t^{3}u(t))e^{6t}e^{-6} = \frac{1}{6}(t^{3}u(t))e^{6t}. Using the time-shift property again, we can rewrite this as \frac{1}{6}(t^{3}u(t))e^{6(t-1)}e^{-6}.

Step 4: Apply the Fourier transform
Now that we have rewritten our function using the properties, we can apply the Fourier transform. Using the Fourier transform property, we have:
\mathcal{F}[\frac{1}{6}(t^{3}u(t))e^{6(t-1)}e^{-6}] = \frac{1}{6}\mathcal{F}[(t^{3
 

1. What is the Fourier Transform and how is it used?

The Fourier Transform is a mathematical tool used to analyze the frequency components of a signal or function. It decomposes a signal into its constituent frequencies, allowing for a better understanding of the underlying patterns and characteristics of the signal.

2. What is the Transform Pair in the Fourier Transform?

The Transform Pair in the Fourier Transform refers to the relationship between a time-domain signal and its corresponding frequency-domain representation. The time-domain signal is called the time-domain function, while its frequency-domain representation is called the frequency-domain function.

3. What are some properties of the Fourier Transform?

Some properties of the Fourier Transform include linearity, time-shifting, frequency shifting, scaling, and convolution. The linearity property states that the transform of a linear combination of signals is the same as the linear combination of their individual transforms. The time-shifting property states that a time delay in the time-domain results in a phase change in the frequency-domain. The frequency shifting property states that a frequency shift in the time-domain results in a time delay in the frequency-domain. The scaling property states that a scaling of the time-domain signal results in a scaling of the frequency-domain signal. Finally, the convolution property states that the convolution of two signals in the time-domain is equivalent to the multiplication of their transforms in the frequency-domain.

4. What is the difference between the Fourier Transform and the Inverse Fourier Transform?

The Fourier Transform is used to convert a signal from the time-domain to the frequency-domain, while the Inverse Fourier Transform is used to convert a signal from the frequency-domain back to the time-domain. In other words, the Fourier Transform shows the frequency components of a signal, while the Inverse Fourier Transform shows the time-domain representation of those frequency components.

5. How is the Fourier Transform used in signal processing and data analysis?

The Fourier Transform is commonly used in signal processing and data analysis to identify the frequency components of a signal, remove noise from a signal, and filter out unwanted frequencies. It is also used in image processing, audio processing, and data compression techniques.

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