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comparison m-toolbox/classes/@specwin/kaiser_nenbw.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 function nenbw = kaiser_nenbw(alpha)
2
3 % KAISER_NENBW returns the normalized noise-equivalent bandwidth for a
4 % kaiser window with parameter alpha.
5 %
6 % Take from C code of Gerhard Heinzel:
7 %
8 % Compute the 'normalized noise-equivalent bandwidth'
9 % (NENBW) [bins] of Kaiser windows from the parameter alpha.
10 % Best-fit polynomial was obtained from 180 data
11 % points between alpha=1 and alpha=9.95.
12 % Maximum error is 0.007 bins
13 % NOTE that NENBW can be computed precisely
14 % from the actual time-domain window values
15 %
16 % M Hewitson 19-05-07
17 %
18 % $Id: kaiser_nenbw.m,v 1.1 2008/06/20 10:46:54 hewitson Exp $
19 %
20
21 a0 = 0.768049;
22 a1 = 0.411986;
23 a2 = -0.0264817;
24 a3 = 0.000962211;
25 x = alpha;
26 nenbw = (((((a3 * x) + a2) * x) + a1) * x + a0);
27
28 % END