A signal x(t) is bandlimited to B Hz

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In summary, a signal x(t) that is bandlimited to B Hz has a Fourier transform containing a heaviside step function. This means that the convolution of two band-limited signals A(f) and B(f) is also band-limited. The band limit of the convolution is determined by the band limits of A(f) and B(f). Using mathematical induction, it can be proven that the n-th power of x(t), x^n(t) is also band-limited to nB Hz.
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gabel
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A singal x(t) is bandlimited to B Hz. Show that that the signal [tex]x^{n}(t)[/tex] is bandlimited to nB Hz.

I have no idee on how to adress this problem. Can get some help?
 
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A band-limited signal has a Fourier component containing a heaviside step function:

[tex]
X(f) = c(f) \theta(B - |f|)
[/tex]

The Fourier transform of a product of two functions is their convolution:

[tex]
\begin{array}{l}
\mathrm{F.T.}[a(t) b(t)](f) = \int_{-\infty}^{\infty}{a(t) \, b(t) \, e^{-2\pi j f t} \, dt} \\ \\

= \int_{-\infty}^{\infty}{dt \, e^{-2\pi j f t} \, \int_{-\infty}^{\infty}{A(f_{1}) \, e^{2\pi j f_{1} t} \, df_{1}} \, \int_{-\infty}^{\infty}{B(f_{2}) \, e^{2\pi j f_{2} t} \, df_{2}}} \\ \\

= \int_{-\infty}^{\infty}{\int_{-\infty}^{\infty}{df_{1} \, df_{2} \, A(f_{1}) \, B(f_{2}) \, \int_{-\infty}^{\infty}{dt \, e^{2\pi j (f_{1} + f_{2} - f) t} \, dt}}} \\ \\

= \int_{-\infty}^{\infty}{\int_{-\infty}^{\infty}{df_{1} \, df_{2} \, A(f_{1}) \, B(f_{2}) \, \delta(f_{1} + f_{2} - f)} \\ \\

= \int_{-\infty}^{\infty}{A(f') \, B(f - f') \, df'}
\end{array}
[/tex]

Take the signals [itex]A(f)[/itex] and [itex]B(f)[/itex] to be band-limited with band limits [itex]B_{1}[/itex] and [itex]B_{2}[/itex], respectively. Then, their convolution is:

[tex]
A \ast B(f) = \int_{-\infty}^{\infty}{A(f') \, \theta(B_{1} - |f'|) \, B(f - f') \, \theta(B_{2} - |f - f'|) \, df'}
[/tex]

The integrand is non-zero only when:

[tex]
\left\{\begin{array}{lcl}
B_{1} - |f'| & \ge & 0 \\

B_{2} - |f - f'| & \ge & 0
\end{array}\right.
[/tex]

These conditions limit the domain of integration with respect to [itex]f'[/itex]. But, they also give some necessary conditions on the possible values of [itex]f[/itex] when the above conditions are not contradictory. This makes the convolution also band limited. What is the band limit on the convolution in terms of [itex]B_{1}[/itex] and [itex]B_{2}[/itex]?

Then, use Mathematical Induction to prove the band limit of the [itex]n[/itex]-th power.
 

FAQ: A signal x(t) is bandlimited to B Hz

What does it mean for a signal to be bandlimited?

When a signal is bandlimited, it means that the highest frequency component in the signal is limited to a certain value, often denoted as B Hz. This means that the signal does not contain any frequency components above B Hz.

How is the bandwidth of a signal determined?

The bandwidth of a signal is determined by finding the highest frequency component in the signal. This can be done by analyzing the signal in the frequency domain, using techniques such as Fourier transforms.

Can a signal with a limited bandwidth contain any frequencies above B Hz?

No, if a signal is bandlimited to B Hz, it means that it does not contain any frequencies above B Hz. However, the signal may still contain lower frequency components below B Hz.

What are the implications of a signal being bandlimited?

A bandlimited signal has a limited frequency range, which means that it cannot accurately represent or transmit signals with higher frequencies. This can result in distortion or loss of information in the signal.

How can a signal be bandlimited in real-world applications?

In real-world applications, signals can be bandlimited through various techniques such as filtering or modulation. For example, in communication systems, bandpass filters are often used to limit the bandwidth of signals to prevent interference with other signals in the same frequency range.

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