Kaiser window

 ( Digital Signal Processing ) 

The Kaiser window, also known as the Kaiser–Bessel window, was developed by James Kaiser at Bell Laboratories. It is a one-parameter family of used in finite impulse response filter design and spectral analysis. The Kaiser window approximates the DPSS window which maximizes the energy concentration in the main lobe but which is difficult to compute.

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Definition The Kaiser window and its Fourier transform are given by :

$$

w_0(x) \triangleq \left\{ \begin{array}{ccl} \tfrac{1}{L}\frac{I_0\left\pi\alpha}{I_0\pi\alpha},\quad &\left|x\right| \leq L/2\\ 0,\quad &\left|x\right| > L/2 \end{array}\right\} \quad \stackrel{\mathcal{F}}{\Longleftrightarrow}\quad \frac{\sin\bigg(\sqrt{(\pi L f)^2-(\pi \alpha)^2}\bigg)} {I_0(\pi \alpha)\cdot \sqrt{(\pi L f)^2-(\pi \alpha)^2}},   .

where :

• is the zeroth-order of the first kind,
• is the window duration, and
• is a non-negative real number that determines the shape of the window. In the frequency domain, it determines the trade-off between main-lobe width and side lobe level, which is a central decision in window design.
• Sometimes the Kaiser window is parametrized by , where .

For digital signal processing, the function can be sampled symmetrically as :

$wn\; =\; L\backslash cdot\; w\_0\backslash left(\backslash tfrac\{L\}\{N\}\; (n-N/2)\backslash right)\; =\; \backslash frac\{I\_0\backslash left\backslash pi\backslash alpha\}\{I\_0\backslash pi\backslash alpha\},\backslash quad\; 0\; \backslash leq\; n\; \backslash leq\; N,$

where the length of the window is $N+1,$ and N can be even or odd. (see A list of window functions)

In the Fourier transform, the first null after the main lobe occurs at $f\; =\; \backslash tfrac\{\backslash sqrt\{1+\backslash alpha^2\}\}\{L\},$ which is just $\backslash sqrt\{1+\backslash alpha^2\}$ in units of N (DFT "bins"). As α increases, the main lobe increases in width, and the side lobes decrease in amplitude.   = 0 corresponds to a rectangular window. For large the shape of the Kaiser window (in both time and frequency domain) tends to a Gaussian curve.  The Kaiser window is nearly optimal in the sense of its peak's concentration around frequency $0.$

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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 is defined in terms of the Kaiser window of length N+1, by the formula :

$$

d_n =

\begin{cases}

& \mbox{if } 0 \leq n < N \\
     

& \mbox{if } N \leq n \leq 2N-1 \\
     

0 & \mbox{otherwise}. \\

\end{cases}

This defines a window of length 2 N, where by construction d _n satisfies the Princen-Bradley condition for the MDCT (using the fact that ): (interpreting n and n +  N modulo 2 N). The KBD window is also symmetric in the proper manner for the MDCT: d _n =  d_{2 N−1− n}.

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Applications The KBD window is used in the Advanced Audio Coding digital audio format.

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Notes

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Further reading

Categories: Digital Signal Processing

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