Small changes in function names

MLEstimators/COMET_2D.m

@@ -73,23 +73,4 @@ linInd = find(Spec_est==pos2DInd);
 DOA_est = [Grid(jOpt); Grid(iOpt)];
 Spec_est(indGrid) = Spec_vec;
 Spec_est = Spec_est + Spec_est';
-% 
-% Spec_est = zeros(NGrid, NGrid);
-% for (iGrid = 1:NGrid-1)
-%     for (jGrid = iGrid+1:NGrid-1)
-%         a1Ha2 = AHA(iGrid, jGrid);
-%         a1HRa1 = real(AHRA(iGrid, iGrid));
-%         a2HRa2 = real(AHRA(jGrid, jGrid));
-%         a2HRa1 = AHRA(jGrid, iGrid);
-%         Spec_est(iGrid, jGrid) = 1/(NAnt^2 - abs(a1Ha2)^2)*(NAnt*(a1HRa1 + a2HRa2)-2*real(a1Ha2*a2HRa1));
-%     end
-% end
-% toc
-% figure
-% imagesc(Spec_est)
-% Search for the global maximum and estimated DOAs
-% [~, linInd] = min(1./Spec_est(:));
-% [iOpt, jOpt] = ind2sub(NGrid, linInd);
-% DOA_est = [Grid(iOpt); Grid(jOpt)];
-
 end
\ No newline at end of file

MLEstimators/DML_2D_v2.m → MLEstimators/DML_2D.m

-function [ DOA_est, Spec_est] = DML_2D_v2( Y, NSrc, Grid, AGrid, varargin )
-%DML_2D_v2 returns the estimated DOAs and the corresponding 2D matrix
+function [ DOA_est, Spec_est] = DML_2D( Y, NSrc, Grid, AGrid, varargin )
+%DML_2D returns the estimated DOAs and the corresponding 2D matrix
 %containing the value of the DML function in the case of two source
 %signals. In this function, simple nested for-loops are used to search for
 %the global minimum. The cost function of DML for two source signals are

MLEstimators/SML_2D.m

 function [ DOA_est, Spec_est] = SML_2D( Y, NSrc, Grid, AGrid, varargin )
-%DML_2D returns the estimated DOAs and the corresponding 2D matrix
-%containing the value of the DML function in the case of two source
+%SML_2D returns the estimated DOAs and the corresponding 2D matrix
+%containing the value of the SML function in the case of two source
 %signals. In this function, simple nested for-loops are used to search for
 %the global minimum
 %

MLEstimators/WSF_2D_v2.m → MLEstimators/WSF_2D.m

-function [ DOA_est, Spec_est] = WSF_2D_v2( Y, NSrc, Grid, AGrid, varargin )
-%WSF_2D_v2 returns the estimated DOAs and the corresponding 2D matrix
+function [ DOA_est, Spec_est] = WSF_2D( Y, NSrc, Grid, AGrid, varargin )
+%WSF_2D returns the estimated DOAs and the corresponding 2D matrix
 %containing the value of the WSF function in the case of two source
 %signals. In this function, simple nested for-loops are used to search for
 %the global minimum. The cost function of DML for two source signals are