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view m-toolbox/classes/@ao/mlpsd_m.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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% MLPSD_M m-file only version of the LPSD algorithm %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: MLPSD_M m-file only version of the LPSD algorithm % % CALL: [S,Sxx,ENBW] = mlpsd_m(x,f,r,m,L,fs,win,order,olap) % % VERSION: $Id: mlpsd_m.m,v 1.9 2011/05/22 22:22:50 mauro Exp $ % % HISTORY: 19-05-2007 M Hewitson % Creation % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = mlpsd_m(varargin) import utils.const.* utils.helper.msg(msg.PROC1, 'using MATLAB to compute core DFT'); % Get inputs x = varargin{1}; f = varargin{2}; r = varargin{3}; m = varargin{4}; L = varargin{5}; fs = varargin{6}; win = varargin{7}; order = varargin{8}; olap = varargin{9}; twopi = 2.0*pi; nx = length(x); nf = length(f); Sxx = zeros(nf,1); S = zeros(nf,1); ENBW = zeros(nf,1); disp_each = round(nf/100)*10; for jj = 1:nf if mod(jj, disp_each) == 0 || jj == 1 || jj == nf utils.helper.msg(msg.PROC1, 'computing frequency %04d of %d: %f Hz', jj, nf, f(jj)); end % compute DFT exponent and window l = L(jj); switch lower(win.type) case 'kaiser' win = specwin(win.type, l, win.psll); otherwise win = specwin(win.type, l); end p = 1i * twopi * m(jj)/l.*[0:l-1]; C = win.win .* exp(p); Xolap = (1-olap); % do segments A = 0.0; % Compute the number of averages we want here segLen = l; nData = length(x); ovfact = 1 / (1 - olap); davg = (((nData - segLen)) * ovfact) / segLen + 1; navg = round(davg); % Compute steps between segments if navg == 1 shift = 1; else shift = (nData - segLen) / (navg - 1); end if shift < 1 || isnan(shift) shift = 1; end % disp(sprintf('Seglen: %d\t | Shift: %f\t | navs: %d', segLen, shift, navg)) start = 1.0; for ii = 1:navg % compute start index istart = round (start); start = start + shift; % get segment xs = [x(istart:istart+l-1)].'; % detrend segment switch order case -1 % do nothing case 0 xs = xs - mean(xs); case 1 xs = detrend(xs); otherwise xs = polydetrend(xs, order); end % make DFT a = C*xs; A = A + a*conj(a); end if mod(jj, disp_each) == 0 || jj == 1 || jj == nf utils.helper.msg(msg.PROC2, 'averaged %d segments', navg); end A2ns = 2.0*A/navg; S1 = win.ws; S12 = S1*S1; S2 = win.ws2; ENBW(jj) = fs*S2/S12; Sxx(jj) = A2ns/fs/S2; S(jj) = A2ns/S12; end % for j=1:nf varargout{1} = S; varargout{2} = Sxx; varargout{3} = ENBW; end