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author | Abinash Singh | 2024-08-08 16:31:44 +0530 |
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committer | Abinash Singh | 2024-08-08 16:33:51 +0530 |
commit | 1a3caa688450fd49135a1777418c7370e15bb72d (patch) | |
tree | 99447e3e11591651bbb160855fece4e7d82ffc77 /macros/spectral_adf.sci | |
parent | f8ae45ed71b709b3308a472ca00d641d6ba0fda3 (diff) | |
download | FOSSEE-Signal-Processing-Toolbox-1a3caa688450fd49135a1777418c7370e15bb72d.tar.gz FOSSEE-Signal-Processing-Toolbox-1a3caa688450fd49135a1777418c7370e15bb72d.tar.bz2 FOSSEE-Signal-Processing-Toolbox-1a3caa688450fd49135a1777418c7370e15bb72d.zip |
Imlemented by Abinash Singh During FOSSEE Semester Long Fellowship 2024
Diffstat (limited to 'macros/spectral_adf.sci')
-rw-r--r-- | macros/spectral_adf.sci | 100 |
1 files changed, 67 insertions, 33 deletions
diff --git a/macros/spectral_adf.sci b/macros/spectral_adf.sci index 38b3990..e1cc5a2 100644 --- a/macros/spectral_adf.sci +++ b/macros/spectral_adf.sci @@ -1,33 +1,67 @@ -function y= spectral_adf(x, varargin) -// Return the spectral density estimator given a vector of autocovariances C, window name WIN, and bandwidth, B. -//Calling Sequence -//spectral_adf(C) -//spectral_adf(C, WIN) -//spectral_adf(C, WIN, B) -//Parameters -//C: Autocovariances -//WIN: Window names -//B: Bandwidth -//Description -//Return the spectral density estimator given a vector ofautocovariances C, window name WIN, and bandwidth, B. -//The window name, e.g., "triangle" or "rectangle" is used to search for a function called 'WIN_lw'. -//If WIN is omitted, the triangle window is used. -//If B is omitted, '1 / sqrt (length (C))' is used. - - -funcprot(0); -rhs= argn(2); -if(rhs<1 | rhs>3) -error("Wrong number of input arguments") -end - -select(rhs) - case 1 then - y= callOctave("spectral_adf", x); - case 2 then - y= callOctave("spectral_adf", x , varargin(1)); - case 3 then - y= callOctave("spectral_adf", x , varargin(1), varargin(2)); - -end -endfunction +/* spectral_adf + Calling Sequence + spectral_adf (c) + spectral_adf (c, win) + spectral_adf (c, win, b) + Parameters + c : Vector of autocovariances + win : The window name . Default window is "triangle" + b : Bandwidth. Default is 1/sqrt(length(c)) + Description + Return the spectral density estimator given a vector of autocovariances c, window name win, and bandwidth, b. + The window name, e.g., "triangle" or "rectangle" is used to search for a function called win_lw. + If win is omitted, the triangle window is used. + If b is omitted, 1 / sqrt (length (c)) is used. + Dependencies: fft1 */ +function sde = spectral_adf (c, win, b) + //c should be a vector + if ~isvector(c) + error("spectral_adf: input c should be a vector") + end + // maximum along the columns + function max_value = col_max (A) + max_value = zeros ( 1, size(A,2)) + for i = 1:length(max_value) + max_value(i) = max(A(:,i)) + end + endfunction + //window functions + function c = triangle_lw (n, b) + c = 1 - (0 : n-1)' * b; + c = [c' ; zeros(1, n)] + c = col_max (c)' + endfunction + function c = rectangle_lw (n, b) + c = zeros (n, 1); + t = floor (1 / b); + c(1:t) = 1; + endfunction + // main part + nargin = argn(2) + if (nargin < 1) + error("wrong number of inputs."); + end + cr = max(size (c) ); + if (size (c , 2) > 1) + c = c'; + end + if (nargin < 3) + b = 1 / ceil (sqrt (cr)); + end + if (nargin == 1) + w = triangle_lw (cr, b); + elseif (~ (type (win) == 10) ) + error ("spectral_adf: WIN must be a string"); + elseif (~strcmp (win , "rectangle" ) ) + w = rectangle_lw(cr , b) ; + elseif (~strcmp (win , "triangle" ) ) + w = triangle_lw(cr , b) ; + else + error("Invalid window or this window is not supported yet") + end + c=c .* w; + sde = 2 * real (fft1 (c)) - c(1); + zer= zeros(cr, 1); + sde = [zer sde]; + sde(:, 1) = (0 : cr-1)' / cr; + endfunction |