0001 function varargout = ltpda_xspec(varargin)
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0026 as = varargin{1};
0027 pl = varargin{2};
0028 method = varargin{3};
0029 iALGO = varargin{4};
0030 iVER = varargin{5};
0031 invars = varargin{6};
0032
0033 ALGONAME = iALGO;
0034 VERSION = [iVER '/' '$Id: ltpda_xspec.html,v 1.1 2007/06/08 14:15:11 hewitson Exp $'];
0035
0036
0037
0038 bs = [];
0039
0040 na = length(as);
0041 if na < 2
0042 error('### LTPDA_XSPEC needs at least two AOs to make a transfer function.');
0043 end
0044
0045
0046
0047
0048 disp('*** Resampling AOs...');
0049 fsmax = findFsMax(as);
0050 fspl = plist(param('fsout', fsmax));
0051 bs = [];
0052 for i=1:na
0053 a = as(i);
0054
0055 if ~isa(a.data, 'tsdata')
0056 error('### ltpda_xspec requires tsdata (time-series) inputs.');
0057 end
0058
0059 if a.data.fs ~= fsmax
0060 warning(sprintf('!!! Resampling AO %s/%s to %f Hz', a.name, a.data.name, fsmax));
0061 a = resample(a, fspl);
0062 end
0063 bs = [bs a];
0064 end
0065 as = bs;
0066 clear bs;
0067 disp('*** Done.');
0068
0069
0070
0071
0072
0073 disp('*** Truncating all vectors...');
0074 lmin = findShortestVector(as);
0075 nsecs = lmin / fsmax;
0076 bs = [];
0077 for i=1:na
0078 a = as(i);
0079 if len(a) ~= lmin
0080 warning(sprintf('!!! Truncating AO %s/%s to %d secs', a.name, a.data.name, nsecs));
0081 bs = [bs select(a, 1:lmin)];
0082 else
0083 bs = [bs a];
0084 end
0085 end
0086 as = bs;
0087 clear bs;
0088 disp('*** Done.');
0089
0090
0091
0092
0093 Nfft = find(pl, 'Nfft');
0094 if Nfft < 0
0095 Nfft = abs(Nfft) * lmin;
0096 disp(sprintf('! Using default Nfft of %g', Nfft))
0097 pl = set(pl, 'Nfft', Nfft);
0098 end
0099
0100
0101 Win = find(pl, 'Win');
0102 if length(Win.win)~=Nfft
0103 switch Win.name
0104 case 'Kaiser'
0105 Win = specwin(Win.name, Nfft, Win.psll);
0106 otherwise
0107 Win = specwin(Win.name, Nfft);
0108 end
0109 disp(sprintf('! Reset window to %s(%d)', strrep(Win.name, '_', '\_'), length(Win.win)))
0110 pl = set(pl, 'Win', Win);
0111 end
0112
0113
0114 Nolap = find(pl, 'Nolap');
0115 if Nolap < 0
0116
0117 Nolap = Win.rov/100;
0118 disp(sprintf('! Using recommended overlap of %d', Nolap))
0119 pl = set(pl, 'Nolap', Nolap);
0120 end
0121
0122
0123 bs = cell(na);
0124 for j=1:na
0125 aj = as(j);
0126 for k=1:na
0127 ak = as(k);
0128
0129
0130 switch method
0131 case 'TF'
0132
0133 [txy,f] = tfestimate(aj.data.x,ak.data.x,Win.win,round(Nolap*Nfft),Nfft,fsmax);
0134 case 'COHERE'
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0136 [txy,f] = mscohere(aj.data.x,ak.data.x,Win.win,round(Nolap*Nfft),Nfft,fsmax);
0137 case 'CPSD'
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0139 [txy,f] = cpsd(aj.data.x,ak.data.x,Win.win,round(Nolap*Nfft),Nfft,fsmax);
0140 otherwise
0141 error('### Unknown method.')
0142 end
0143
0144
0145
0146 fs = fsdata(f, txy, fsmax);
0147 fs = set(fs, 'name', sprintf('%s(%s->%s)', method, aj.data.name, ak.data.name));
0148 fs = set(fs, 'enbw', Win.nenbw);
0149
0150
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0156 if j<k
0157 h = history(ALGONAME, VERSION, pl, [aj.hist ak.hist]);
0158 else
0159 h = history(ALGONAME, VERSION, pl, [ak.hist aj.hist]);
0160 end
0161 h = set(h, 'invars', [invars(j) invars(k)]);
0162
0163
0164 b = ao(fs, h);
0165
0166
0167 if isempty(invars{k})
0168 nk = ak.name;
0169 else
0170 nk = invars{k};
0171 end
0172 if isempty(invars{j})
0173 nj = aj.name;
0174 else
0175 nj = invars{j};
0176 end
0177 b = set(b, 'name', sprintf('%s(%s->%s)', method, nj, nk));
0178
0179
0180 bs(j,k) = {b};
0181 end
0182 end
0183
0184
0185
0186 b = [bs{:}];
0187 varargout{1} = reshape(b, na, na);
0188
0189
0190
0191
0192 function lmin = findShortestVector(as)
0193
0194 lmin = 1e20;
0195 for j=1:length(as)
0196 if len(as(j)) < lmin
0197 lmin = len(as(j));
0198 end
0199 end
0200
0201
0202
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0204 function fs = findFsMax(as)
0205
0206 fs = 0;
0207 for j=1:length(as)
0208 a = as(j);
0209 if a.data.fs > fs
0210 fs = a.data.fs;
0211 end
0212 end
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0215