D/A Communications - Minimum bandwidth of a channel

In summary: Therefore, it can be concluded that the channel has a bandwidth of 0.000164 Hz and the power spectral densities of the message signal and the noise can be used to determine the power contained in each frequency range. In summary, the given problem involves a channel transfer function and power spectral densities of the message signal and noise. From this, the bandwidth of the channel can be calculated and the power contained in each frequency range can be determined using Parseval's theorem. The channel noise is not filtered at this point, and the resulting bandwidth and power spectral densities may not seem reasonable. Further clarification or help may be needed to fully understand the problem.
  • #1
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Homework Statement


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Homework Equations



The given channel transfer function and PSDs. Note that the capital Pi symbol in the PSD of the message symbolizes the rectangle function so Sm(f) = 8rect(f/8000)

The Attempt at a Solution


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From my understanding, channel noise is not filtered at this point since it's additive to the signal in the channel.

I get an answer of B = 0.000164 Hz, which doesn't seem reasonable. Including the negative frequencies, a bandwidth of 2B = 0.000328 Hz still doesn't make much sense to me.
 

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  • #2
I'm not sure if I'm missing something here.I also get power spectral densities for the noise and message symbol, but I don't understand how to interpret them. Any help would be greatly appreciated.The channel transfer function is given by H(f) = 0.8e^-j2πf/7000 and the PSDs are given by Sx(f) = 4rect(f/4000) and Sn(f) = 8rect(f/8000).From this, we can calculate the bandwidth of the channel as B = 1/(2π/7000) = 0.000164 Hz. This is the bandwidth of the signal at the output of the channel, which is the sum of the input signal and the channel noise. The power spectral densities of the message signal and the noise can then be calculated using Parseval's theorem:Sx(f) = 4rect(f/4000) Sn(f) = 8rect(f/8000)These PSDs represent the power per unit of frequency (in hertz) of the message signal and the noise respectively. From these PSDs, we can determine how much power is contained in each frequency range. For example, at f = 4000 Hz, Sx(f) = 4, meaning that there is 4 units of power in the frequency range from 4000 Hz to 8000 Hz. Similarly, at f = 8000 Hz, Sn(f) = 8, meaning that there is 8 units of power in the frequency range from 8000 Hz to 16000 Hz.
 

1. What is D/A Communications?

D/A communications, also known as digital-to-analog communications, is the process of converting digital signals into analog signals for transmission and reception over a communication channel. This is a fundamental aspect of modern communication systems, as most digital devices communicate using analog signals.

2. What is the minimum bandwidth of a channel for D/A communications?

The minimum bandwidth of a channel for D/A communications depends on the bit rate of the digital signal being transmitted. According to the Nyquist-Shannon sampling theorem, the minimum bandwidth required for a signal with a bit rate of B bits per second is 2B Hz. Therefore, the minimum bandwidth for D/A communications can be calculated by doubling the bit rate of the digital signal.

3. How does the minimum bandwidth of a channel impact D/A communications?

The minimum bandwidth of a channel is crucial for D/A communications as it determines the quality and reliability of the transmitted signal. If the bandwidth is too low, the signal may experience distortion and errors, leading to a poor quality transmission. Therefore, it is essential to ensure that the channel has enough bandwidth to accommodate the bit rate of the digital signal being transmitted.

4. Can the minimum bandwidth of a channel be increased for D/A communications?

Yes, the minimum bandwidth of a channel can be increased for D/A communications by using techniques such as modulation and channel coding. Modulation allows for the transmission of multiple signals within the same bandwidth, while channel coding helps to reduce errors and increase the efficiency of the transmission. These techniques can increase the capacity of a channel and allow for higher bit rates to be transmitted.

5. What are the factors that can affect the minimum bandwidth of a channel for D/A communications?

The minimum bandwidth of a channel for D/A communications can be affected by various factors such as the type of modulation used, the signal-to-noise ratio, and the channel capacity. The type of modulation used can impact the bandwidth as different modulation techniques require different amounts of bandwidth. A higher signal-to-noise ratio can also allow for a lower minimum bandwidth, as it reduces the risk of errors. The channel capacity, which is the maximum data rate that a channel can support, can also impact the minimum bandwidth required for D/A communications.

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