Chemistry Reference and  Research
           
 
Periodic Table
- standard table
- large table
 
Chemical Elements
- by name
- by symbol
- by atomic number
 
Chemical Properties
 
Chemical Reactions
 
Organic Chemistry
 
Branches of Chemistry
Analytical chemistry
Biochemistry
Computational Chemistry
Electrochemistry
Environmental chemistry
Geochemistry
Inorganic chemistry
Materials science
Medicinal chemistry
Nuclear chemistry
Organic chemistry
Pharmacology
Physical chemistry
Polymer chemistry
Supramolecular Chemistry
Thermochemistry

Kaiser window

The Kaiser window is a nearly optimal window function wk used for digital signal processing, and is defined by the formula:


w_k =   \left\{ \begin{matrix}  \frac{I_0(\pi\alpha \sqrt{1 - (2k/n-1)^2})} {I_0(\pi\alpha)}        & \mbox{if } 0 \leq k \leq n \\  \\  0 & \mbox{otherwise} \\   \end{matrix} \right.

where I0 is the zeroth order modified Bessel function of the first kind, α is an arbitrary real number that determines the shape of the window, and the integer n is the length of the window.

By construction, this function peaks at unity for k = n/2, i.e. at the center of the window, and decays exponentially towards the window edges.

The larger the value of |α|, the narrower the window becomes; α = 0 corresponds to a rectangular window. Conversely, for larger |α| the width of the main lobe increases in the Fourier transform of wk, while the side lobes decrease in amplitude. Thus, this parameter controls the tradeoff between main-lobe width and side-lobe area. For large α, the shape of the Kaiser window tends to a Gaussian curve.

Kaiser-Bessel derived (KBD) window

A related window function is the Kaiser-Bessel derived (KBD) window, which is designed to be suitable for use with the modified discrete cosine transform (MDCT). The KBD window function dk is defined in terms of the Kaiser window wk by the formula:


d_k =   \left\{ \begin{matrix}  \sqrt{\frac{\sum_{j=0}^{k} w_j} {\sum_{j=0}^{n} w_j}}       & \mbox{if } 0 \leq k < n \\ \\  \sqrt{\frac{\sum_{j=0}^{2n-1-k} w_j} {\sum_{j=0}^{n} w_j}}       & \mbox{if } n \leq k < 2n \\ \\  0 & \mbox{otherwise} \\   \end{matrix} \right.

This defines a window of length 2n, where by construction dk satisfies the Princen-Bradley condition for the MDCT (using the fact that wnk = wk): dk2 + dk + n2 = 1 (interpreting k and k + n modulo 2n). The KBD window is also symmetric in the proper manner for the MDCT: dk = d2n−1−k.

References

  • A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing (Prentice-Hall, 1999).
  • J. F. Kaiser, "Digital Filters," System Analysis by Digital Computer chap. 7 (Wiley: New York, 1966); F. F. Kuo and J. F. Kaiser, eds.
  • Marina Bosi, Kaiser-Bessel Derived Window, Music 422 / EE 367C: Perceptual Audio Coding (Stanford University course page, 2005).
01-04-2007 01:16:19
The contents of this article are licensed from Wikipedia.org under the GNU Free Documentation License. How to see transparent copy