Sign in

username:

password:



Not a member?

Search Online Books



Search tips

Free Online Books

Sponsor

Industry's highest performing at the lowest power DSPs now as low as $5.00*
Start development today!
*volume pricing for 10ku

Chapters

See Also

Embedded SystemsFPGAElectronics
Chapter Contents:

Search Spectral Audio Signal Processing

  

Book Index | Global Index


Would you like to be notified by email when Julius Orion Smith III publishes a new entry into his blog?

  

Poisson Window


Definition:

$\displaystyle w_P(n) = w_R(n)e^{- \alpha \frac{\vert n\vert}{ \frac{M-1}{2} }}
$

where $ \alpha $ determines the time constant $ \tau$:

$\displaystyle \frac{\tau}{T} = \frac{M-1}{2\alpha}\quad\hbox{samples}
$

where $ T$ denotes the sampling interval in seconds.

Figure 3.13: The Poisson (exponential) window.
\includegraphics[width=3.5in]{eps/poissonwindow}

The Poisson window is plotted in Fig.3.13. In the $ z$ plane, the Poisson window has the effect of radially contracting the unit circle. Consider an infinitely long Poisson window (no truncation by a rectangular window $ w_R$) applied to a causal signal $ h(n)$ having $ z$ transform $ H(z)$:

\begin{eqnarray*}
H_P(z) &=& \sum_{n=0}^\infty [w(n)h(n)] z^{-n} \\
&=& \sum_{...
..._{n=0}^\infty h(n) (z/r)^{-n} \\
&=& H\left(\frac{z}{r}\right)
\end{eqnarray*}

Thus, the unit-circle response is moved to $ \vert z\vert=1/r$. This means, for example, that marginally stable poles in $ H(z)$ now decay as $ r^{-n}=e^{-\alpha n/(M/2)}$ in $ H(zr)$.

The effect of this radial $ z$-plane contraction is shown in Fig.3.14.

Figure 3.14: Radial contraction of the unit circle in the $ z$ plane by the Poisson window.
\includegraphics[width=3.5in]{eps/zplane2}

The Poisson window can be useful for impulse-response modeling by poles and/or zeros (``system identification''). In such applications, the window length is best chosen to include substantially all of the impulse-response data.


Previous: Matlab for the Bartlett Window:
Next: Hann-Poisson Window

Order a Hardcopy of Spectral Audio Signal Processing


About the Author: Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See http://ccrma.stanford.edu/~jos/ for details.


Comments


No comments yet for this page


Add a Comment
You need to login before you can post a comment (best way to prevent spam). ( Not a member? )