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Bandwidth expansion 1/1 https://en.wikipedia.org/wiki/Bandwidth_expansion reference science, encyclopedia 2026-05-05T12:04:12.339066+00:00 kb-cron

Bandwidth expansion is a technique for widening the bandwidth or the resonances in an LPC filter. This is done by moving all the poles towards the origin by a constant factor

    γ
  

{\displaystyle \gamma }

. The bandwidth-expanded filter

      A
      
    
    (
    z
    )
  

{\displaystyle A'(z)}

can be easily derived from the original filter

    A
    (
    z
    )
  

{\displaystyle A(z)}

by:

      A
      
    
    (
    z
    )
    =
    A
    (
    z
    
      /
    
    γ
    )
  

{\displaystyle A'(z)=A(z/\gamma )}

Let

    A
    (
    z
    )
  

{\displaystyle A(z)}

be expressed as:

    A
    (
    z
    )
    =
    
      ∑
      
        k
        =
        0
      
      
        N
      
    
    
      a
      
        k
      
    
    
      z
      
        
        k
      
    
  

{\displaystyle A(z)=\sum _{k=0}^{N}a_{k}z^{-k}}

The bandwidth-expanded filter can be expressed as:

      A
      
    
    (
    z
    )
    =
    
      ∑
      
        k
        =
        0
      
      
        N
      
    
    
      a
      
        k
      
    
    
      γ
      
        k
      
    
    
      z
      
        
        k
      
    
  

{\displaystyle A'(z)=\sum _{k=0}^{N}a_{k}\gamma ^{k}z^{-k}}

In other words, each coefficient

      a
      
        k
      
    
  

{\displaystyle a_{k}}

in the original filter is simply multiplied by

      γ
      
        k
      
    
  

{\displaystyle \gamma ^{k}}

in the bandwidth-expanded filter. The simplicity of this transformation makes it attractive, especially in CELP coding of speech, where it is often used for the perceptual noise weighting and/or to stabilize the LPC analysis. However, when it comes to stabilizing the LPC analysis, lag windowing is often preferred to bandwidth expansion.

== References ==

P. Kabal, "Ill-Conditioning and Bandwidth Expansion in Linear Prediction of Speech", Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, pp. I-824-I-827, 2003.