www.pudn.com > SpeakerRecognitionsystem.rar > blockFrames.m

function M3 = blockFrames(s, fs, m, n) 
% blockFrames: Puts the signal into frames 
% 
% Inputs: s  contains the signal to analize 
%         fs is the sampling rate of the signal 
%         m  is the distance between the beginnings of two frames 
%         n  is the number of samples per frame 
% 
% Output: M3 is a matrix containing all the frames 
% 
% 
%%%%%%%%%%%%%%%%%% 
% 
% Author:     Amin Koohi(Sohrevardi) 
%              AminSohrevardi@yahoo.com , AminKoohi@yahoo.com 
    l = length(s); 
    nbFrame = floor((l - n) / m) + 1; 
     
    for i = 1:n 
        for j = 1:nbFrame 
            M(i, j) = s(((j - 1) * m) + i); 
        end 
    end 
     
    h = hamming(n); 
    M2 = diag(h) * M; 
     
    for i = 1:nbFrame 
        M3(:, i) = fft(M2(:, i)); 
    end