Causal system/convolution question

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In summary, a causal system is a type of system where the output only depends on the input at the same or previous times. Convolution is a mathematical operation that combines two functions to create a new function and is commonly used in signal processing and data analysis. To determine if a system is causal, you can check if the output only depends on previous inputs. Causality and convolution are closely related, as a causal system can be represented through convolution. Some real-world applications of causal systems and convolution include signal processing, image processing, and data analysis. They are used in various fields such as audio and video compression, speech recognition, and image filtering.
  • #1
kidsasd987
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Homework Statement



a) find if the system is causal.
b) find the impulse response

given: y(t)=x(t-1)u(t)

ans:
a) Causal
b) delta(t-1)

Homework Equations

The Attempt at a Solution


[/B]
a)

I thought this is a non-causal system because if our input is delta(t), the resultant output is delta(t-1)
if t=1, input value depends on delta(1), and its output is delta(0). output depends on future value.b) I don't know where that u(t) comes from...thanks.
 
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  • #2
Usually this type of problem will the additional condition that x(t) = 0 for t<0, so that it is more clear that this is a weighted ( by u(t) ) shift operation.
I am assuming that x and u are known and y is the output.
 
  • #3
a) The system is causal because the output is only dependent on past values of input x[t-1] is a time in the past.

b) y[t]=x[t-1]*u[t] --> for the impulse response, we put delta function as input (x) and then solve for output. so, impulse response:
h[t] = delta[t-1]*u[t] = delta[t-1]
 

FAQ: Causal system/convolution question

1. What is a causal system?

A causal system is a type of system in which the output at any given time depends only on the input at that same time or at previous times. This means that the output is not affected by future inputs, making the system "causal".

2. What is a convolution question?

A convolution question is a type of problem in which a function or signal is convolved with another function or signal. This is a mathematical operation that essentially combines the two functions to create a new function. Convolution is commonly used in signal processing and data analysis.

3. How do you determine if a system is causal?

To determine if a system is causal, you can check if the output at any given time depends only on the input at that same time or at previous times. If the output is also affected by future inputs, then the system is not causal.

4. What is the relationship between causality and convolution?

Causality and convolution are closely related in that a causal system can be represented mathematically through convolution. In other words, the output of a causal system can be determined by convolving the input signal with the system's impulse response.

5. What are some real-world applications of causal systems and convolution?

Causal systems and convolution have many applications in various fields, including signal processing, image processing, and data analysis. They are used in audio and video compression, speech recognition, and image filtering, among others. In general, they are useful in analyzing and manipulating any type of data that can be represented as a signal or function.

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