Scaled unit impulse/step sequences

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Discussion Overview

The discussion revolves around the representation of a discrete-time signal using scaled unit impulse and step sequences, specifically in the context of a difference equation related to a causal FIR filter. Participants are examining the formulation of the signal based on given coefficients and exploring the implications of the definitions used.

Discussion Character

  • Homework-related
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant presents a solution for the signal x[n] using scaled unit impulse sequences, detailing the values for δ[n] at different n.
  • Another participant questions the completeness of the problem statement, specifically asking for the exact difference equation involved.
  • A third participant provides a general form of the difference equation for a causal FIR filter, indicating the relationship between the output and input signals.
  • One participant confirms the correctness of the expression for x[n] but expresses confusion regarding the presentation of a table related to the solution.
  • There is a discussion about the definitions of FIR and IIR filters, with one participant noting that FIR filters can be recursive, which contrasts with common perceptions.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the completeness of the problem statement or the interpretation of the filter types. There are competing views regarding the definitions and characteristics of FIR and IIR filters, and some participants express uncertainty about specific aspects of the solution.

Contextual Notes

Some assumptions about the definitions of the signals and the nature of the filters are not fully articulated, leading to potential ambiguity in the discussion. The relationship between the impulse response and the filter type remains unresolved.

Who May Find This Useful

This discussion may be useful for students and practitioners interested in digital signal processing, particularly those studying the representation of signals in terms of impulse and step functions, as well as the characteristics of FIR and IIR filters.

freezer
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Homework Statement



[itex]b_{k} = {4, 1, 1, 4}[/itex]

x[n] = 2u[n]

Write your answer using scaled unit impulse sequences and scaled unit step sequences. Write explicitly.

Homework Equations


The Attempt at a Solution



Code:
4114
2222222...
------------
8228
 8228
  8228
   8228
    8228
      ...
------------
8, 10, 12, 20, 20, 20, ...

[itex]x[n] = 8\delta[n] + 10\delta[n-1] + 12\delta[n-2] + \sum^{\infty}_{k=3} 20 \delta[n-k][/itex][itex] \delta[n] = \left\{\begin{matrix}<br /> 0 & n<0\\ <br /> 8 & n = 0\\ <br /> 10 & n = 1 \\ <br /> 12 & n = 2\\ <br /> 20 & n \geq 3 <br /> \end{matrix}\right.[/itex]

Is this how you would answer this question?
 
Last edited:
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You haven't stated the problem fully. What is the difference equation, exactly?


In any case, u[n] is always 1.
 
The general difference equation for a causal FIR is:

[itex]y[n] = \sum^{\infty}_{k=0} b_{k} x[n-k][/itex]

and then

[itex] \delta[n] = \left\{\begin{matrix}<br /> 0 & n<0\\ <br /> 8 & n = 0\\ <br /> 10 & n = 1 \\ <br /> 12 & n = 2\\ <br /> 20 & n \geq 3 <br /> \end{matrix}\right.[/itex]
 
Last edited:
Your expression for x[n] is correct. But I don't quite understand your table, probably because I can't make out the column after the 1st equal sign.

But δ[n] = 1, n = 0
= 0, n > 0 always.

BTW your equation is for a non-recursive filter, which is not necessarily an FIR filter.
FIR filters can also be recursive, and IIR filters can be non-recursive. However, saying FIR → non-recursive and IIR → recursive is almost universal, if misleading.
 

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