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annotate m-toolbox/classes/+utils/@math/computeDftPeriodogram.m @ 19:69e3d49b4b0c database-connection-manager

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Update ltpda_uo.fromRepository
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % COMPUTEDFTPERIODOGRAM compute periodogram with dft
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION
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5 %
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6 % Define one sided periodogram as:
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7 % Xp(f) = 2*T*|DFT(w(t)*x(t))/T|^2
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8 % Where w(t) are window sameples, which are supposed to be square
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9 % integrable: sum(w(t)^2)=1
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10 %
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11 % CALL
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12 % Sf = computeDftPeriodogram(x,fs,f,order,win,psll)
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13 % Sf = computeDftPeriodogram(x,fs,f,order,win,[])
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14 %
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15 %
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16 % INPUT
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17 %
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18 % - x, data series, Nx1 double
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19 % - fs, sampling frequency Hz, 1x1 double
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20 % - f, frequenci vector Hz, 1x1 double
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21 % - order, detrend order, -1,0,1,2,3,4,...
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22 % - win, window name. e.g 'BH92'
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23 % - psll, for Kaiser window only
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24 %
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25 % REFERENCES
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26 %
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27 % D. B. Percival and A. T. Walden, Spectral Analysis for Physical
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28 % Applications (Cambridge University Press, Cambridge, 1993) p 291.
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29 %
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30 % L Ferraioli 28-03-2011
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31 %
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32 % $Id: computeDftPeriodogram.m,v 1.2 2011/03/29 15:36:43 luigi Exp $
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33 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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34 function Sf = computeDftPeriodogram(x,fs,f,order,win,psll)
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35
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36
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37 % detrend segment
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38 if order < 0
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39 xd = x; % no detrend
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40 else
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41 [xd,coeffs] = ltpda_polyreg(x,order);
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42 end
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43
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44 N = numel(x);
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45
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46 % get window
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47 switch lower(win)
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48 case 'kaiser'
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49 wnd = specwin('Kaiser', N, psll);
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50 otherwise
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51 wnd = specwin(win, N);
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52 end
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53 w = wnd.win;
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54 w = w./sqrt(wnd.ws2); % compensates for the power of the window.
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55
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56 if size(w)~=size(xd)
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57 w = w.';
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58 end
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59
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60 % apply window
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61 xdw = xd.*w;
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62
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63 T = 1/fs;
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64
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65 Nf = numel(f);
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66 Sf = zeros(Nf,1);
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67 for ii=1:Nf
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68 xx = utils.math.dft(xdw,f(ii),T);
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69 xx = xx/T;
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70 Sf(ii) = 2*T*xx*conj(xx);
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71 end
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72
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73
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74
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75 end