Mercurial > hg > ltpda
comparison m-toolbox/classes/+utils/@math/pfallpsyms2.m @ 0:f0afece42f48
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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1 % PFALLPSYMS2 all pass filtering to stabilize TF poles and zeros. | |
2 % | |
3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
4 % DESCRIPTION: | |
5 % | |
6 % All pass filtering in order to stabilize transfer function poles and | |
7 % zeros. It inputs a partial fraction expanded discrete model and | |
8 % outputs a pole-zero minimum phase system | |
9 % | |
10 % CALL: | |
11 % | |
12 % resp= pfallpsyms2(ip,mresp,f,fs) | |
13 % | |
14 % INPUTS: | |
15 % | |
16 % ip: is a struct with fields named poles | |
17 % mresp: is a vector with functions response | |
18 % f: is the frequancies vector in (Hz) | |
19 % fs: is the sampling frequency in (Hz) | |
20 % | |
21 % OUTPUTS: | |
22 % | |
23 % resp: is the stable functions frequency response | |
24 % | |
25 % NOTE: | |
26 % | |
27 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
28 % VERSION: $Id: pfallpz.m,v 1.6 2009/06/10 15:47:00 luigi Exp $ | |
29 % | |
30 % HISTORY: 12-09-2008 L Ferraioli | |
31 % Creation | |
32 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
33 function varargout = pfallpsyms2(ip,mresp,f) | |
34 | |
35 [a,b] = size(ip); | |
36 if a<b | |
37 ip = ip.'; % reshape as a column vector | |
38 end | |
39 | |
40 [a,b] = size(f); | |
41 if a<b | |
42 f = f.'; % reshape as a column vector | |
43 end | |
44 | |
45 | |
46 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
47 Nb = numel(ip); | |
48 for nn = 1:Nb | |
49 | |
50 p = ip(nn).poles; | |
51 | |
52 % stabilizing poles | |
53 sp = sym(p); | |
54 unst = real(p) > 0; | |
55 sp(unst) = conj(sp(unst)); | |
56 | |
57 pp = sym(p(unst)); | |
58 psp = sp(unst); | |
59 syms s | |
60 allpsym = 1; | |
61 for jj=1:numel(psp) | |
62 allpsym = allpsym.*((s-pp(jj))./(s+psp(jj))); | |
63 end | |
64 funcell{nn} = allpsym; | |
65 | |
66 end | |
67 | |
68 fullallprsp = 1; | |
69 | |
70 for nn = 1:Nb | |
71 symexpr = funcell{nn}; | |
72 nterm = subs(symexpr,s,(1i*2*pi).*f); | |
73 % willing to work with columns | |
74 if size(nterm,2)>1 | |
75 nterm = nterm.'; | |
76 end | |
77 | |
78 fullallprsp = fullallprsp.*nterm; | |
79 | |
80 end | |
81 | |
82 % rallp = real(fullallprsp); | |
83 % iallp = imag(fullallprsp); | |
84 % ang = atan(iallp./rallp); | |
85 | |
86 for kk=1:Nb | |
87 sresp(:,kk) = mresp(:,kk).*fullallprsp; | |
88 % sresp(:,kk) = mresp(:,kk).*(cos(ang)+1i.*sin(ang)); | |
89 end | |
90 | |
91 for kk=1:Nb | |
92 resp(:,kk) = double(sresp(:,kk)); | |
93 end | |
94 | |
95 | |
96 % output | |
97 if nargout == 1 | |
98 varargout{1} = resp; | |
99 else | |
100 error('Too many output arguments!') | |
101 end | |
102 end | |
103 | |
104 | |
105 | |
106 |