What is the transfer function for this system?

In summary, the conversation discusses the occurrence of an echo in long-distance telephone communication and the system function \(H(s)\) that models this effect. The system function is determined to be \(H(s) = \alpha\ e^{- s\ T} + \alpha^{3}\ e^{- 3\ s\ T}\), where \(\alpha\) represents the attenuation in amplitude and \(T\) is the one-way travel time along the communication channel. It is also noted that \(H(s)\) does not have any zeros or poles, but only 'pure delays'.
  • #1
Dustinsfl
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In a long-distance telephone communication, an echo is sometimes encountered due to the transmitted signal being reflected at the receiver, sent back down the line, reflected again at the transmitter, and returned to the receiver. The impulse response for a system that modles this effect is shown in figure, where we have assumed tat only one echo is received. The parameter \(T\) corresponds to the one-way travel time along the communication channel, and the parameter \(\alpha\) represents the attenuation in amplitude between transmitter and receiver.
View attachment 2099
Determine the system function \(H(s)\) and associated region of convergence for the system.

How can I determine a transfer function from this?
 

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  • #2
dwsmith said:
In a long-distance telephone communication, an echo is sometimes encountered due to the transmitted signal being reflected at the receiver, sent back down the line, reflected again at the transmitter, and returned to the receiver. The impulse response for a system that modles this effect is shown in figure, where we have assumed tat only one echo is received. The parameter \(T\) corresponds to the one-way travel time along the communication channel, and the parameter \(\alpha\) represents the attenuation in amplitude between transmitter and receiver.
View attachment 2099
Determine the system function \(H(s)\) and associated region of convergence for the system.

How can I determine a transfer function from this?

Is...

$\displaystyle h(t) = \alpha\ \delta(t - T) + \alpha^{3}\ \delta (t - 3\ T)\ (1)$

... so that...

$\displaystyle H(s) = \alpha\ e^{- s\ T} + \alpha^{3}\ e^{- 3\ s\ T}\ (2)$

Kind regards

$\chi$ $\sigma$
 
  • #3
chisigma said:
Is...

$\displaystyle h(t) = \alpha\ \delta(t - T) + \alpha^{3}\ \delta (t - 3\ T)\ (1)$

... so that...

$\displaystyle H(s) = \alpha\ e^{- s\ T} + \alpha^{3}\ e^{- 3\ s\ T}\ (2)$

Kind regards

$\chi$ $\sigma$

We know that exponential are never zero. How can we represent \(H\) in terms of zeros and poles? The only time I see that \(H\) can be zero is if \(\alpha = 0, \pm i\) but is that right?
 
  • #4
dwsmith said:
We know that exponential are never zero. How can we represent \(H\) in terms of zeros and poles? The only time I see that \(H\) can be zero is if \(\alpha = 0, \pm i\) but is that right?

The answer is very simple: in this case H(s) doesn't have neither zeros neither poles but only 'pure delays'...

Kind regards

$\chi$ $\sigma$
 
  • #5


The transfer function for this system can be determined by taking the Laplace transform of the impulse response shown in the figure. This will give us the system function \(H(s)\) in the s-domain, where s is the complex frequency variable.

\(H(s) = \frac{\alpha e^{-Ts}}{1+\alpha e^{-Ts}}\)

The region of convergence for this system will depend on the values of T and \(\alpha\). Generally, the region of convergence will be the entire s-plane except for the poles of the transfer function, which are at \(s = -\frac{1}{T}\) and \(s = \infty\).

To determine the transfer function, we can also use the fact that the transfer function is the ratio of the output signal to the input signal in the frequency domain. In this case, the output signal is the received signal and the input signal is the transmitted signal. Therefore, the transfer function can be written as:

\(H(s) = \frac{\text{Received signal}}{\text{Transmitted signal}}\)

We can also represent this system as a block diagram, with the transmitted signal as the input and the received signal as the output. The transfer function can then be determined by taking the Laplace transform of the output signal and dividing it by the Laplace transform of the input signal.

In summary, the transfer function for this system is given by \(H(s) = \frac{\alpha e^{-Ts}}{1+\alpha e^{-Ts}}\) and the region of convergence is the entire s-plane except for the poles at \(s = -\frac{1}{T}\) and \(s = \infty\). This transfer function can be used to analyze and design the system for optimal performance in long-distance telephone communication.
 

FAQ: What is the transfer function for this system?

What is a transfer function?

A transfer function is a mathematical representation of the relationship between the input and output of a system. It describes how the input signal is transformed into the output signal by the system.

What is the purpose of a transfer function?

The purpose of a transfer function is to analyze the behavior and performance of a system. It can help determine the system's stability, frequency response, and other characteristics that are essential in engineering and scientific applications.

How is a transfer function different from an impulse response?

A transfer function is a mathematical representation of a system, while an impulse response is a time-domain representation of a system's output when an impulse is applied to the input. The transfer function includes information about both the input and output signals, while the impulse response only shows the output signal.

How is a transfer function used in control systems?

In control systems, the transfer function is used to design controllers and analyze their performance. It can also be used to model the behavior of a system and predict its response to different inputs.

What is the Laplace transform and its relation to transfer functions?

The Laplace transform is a mathematical tool used to convert a function of time into a function of complex frequency. It is used to simplify the analysis of linear time-invariant systems, and it is the basis for deriving transfer functions. The Laplace transform of a system's impulse response is equal to its transfer function.

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