Unit-Pulse Response for Discrete Time System

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Discussion Overview

The discussion revolves around computing the unit-impulse response h[n] for a discrete-time system described by the equation y[n+1] + y[n] = 2x[n]. Participants express confusion regarding the handling of future values in the equation and explore different methods for solving it, including iterative approaches and the use of Z transforms.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant expresses confusion about solving the equation due to the presence of future values (n+1) and questions how to derive a solution when each equation refers to the next future equation.
  • Another participant suggests rewriting the equation to express y[n+1] as a function of y[n] and x[n], emphasizing that the impulse response is the zero state response when the input is an impulse.
  • A third participant recommends using Z transforms for additional insight into the problem.
  • Some participants inquire whether the same reasoning applies to a different equation, y[n+2] + y[n+1] + y[n] = x[n+1] - x[n], indicating they are also confused about this scenario.
  • Responses indicate that the reasoning is similar and suggest starting with initial conditions for the new equation, while also reiterating the potential utility of Z transforms.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best approach to solve the original equation, and multiple viewpoints regarding the handling of future values and the applicability of Z transforms are present.

Contextual Notes

Participants mention the importance of initial conditions and the zero state response, but there are unresolved assumptions regarding the handling of future values in the equations discussed.

hoser1000
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The question is: Compute the unit-impulse response h[n] for n=0,1,2,3 for each of the following discrete-time systems.

Equation:
y[n+1] + y[n] = 2x[n]

I am trying to figure out how to solve this equation. I understand the example in the book but I don't understand what to do when it calls a future value (n+1)

I rewrote the equation as:
y[n]=2delta[n]-y[n+1]

When n=0 delta[n] is 1 so:
y[0]=2*1-y[1]<-----This is where I am getting confused. Doesn't y[1] refer to my answer when I use the value n=1? How can I get a solution if each equation will refer to the next future equation? The example in the book uses y[n-1] so for each value of n it refers to the previous answer for y[n].

Any help would be much appreciated!
 
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hoser1000 said:
The question is: Compute the unit-impulse response h[n] for n=0,1,2,3 for each of the following discrete-time systems.

Equation:
y[n+1] + y[n] = 2x[n]

I am trying to figure out how to solve this equation. I understand the example in the book but I don't understand what to do when it calls a future value (n+1)

I rewrote the equation as:
y[n]=2delta[n]-y[n+1]

When n=0 delta[n] is 1 so:
y[0]=2*1-y[1]<-----This is where I am getting confused. Doesn't y[1] refer to my answer when I use the value n=1? How can I get a solution if each equation will refer to the next future equation? The example in the book uses y[n-1] so for each value of n it refers to the previous answer for y[n].

Any help would be much appreciated!

It is exactly the contrary of what you did. You should write y[n+1] as a function of y[n] and x[n].
By definition, the impulse response of a system is the zero state response of that system when the input is an impulse, so you have y[0] = 0.
Now substitute x[n] by the impulse function and solve iteratively for y[1], y[2], y[3].
 
Why don't you use Z transforms. That'll provide you with some more insight.
 
Hey,

Does this same reasoning apply if the equation is:

y[n+2] + y[n+1] + y[n] = x[n+1] - x[n]

if so, i too am lost.

is there another way to describe it?
or could you just go through it step by step
 
draakon said:
Hey,

Does this same reasoning apply if the equation is:

y[n+2] + y[n+1] + y[n] = x[n+1] - x[n]

if so, i too am lost.

is there another way to describe it?
or could you just go through it step by step

The reasoning is the same. Start with n = -1.
x[n] = x[-1] = 0
x[n+1] = x[0] = 1
x[n+2] = x[n+3] = ... = 0
y[n] = y[-1] = 0
y[n+1] = y[0] = 0
...
Or, as unplebeian suggested, use the z-transform
 

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