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On the computational complexity of the LBG and PNN algorithms

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2 Author(s)
J. Shanbehzadeh ; Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia ; P. O. Ogunbona

This correspondence compares the computational complexity of the pair-wise nearest neighbor (PNN) and Linde-Buzo-Gray (LBG) algorithms by deriving analytical expressions for their computational times. It is shown that for a practical codebook size and training vector sequence, the LBG algorithm is indeed more computationally efficient than the PNN algorithm

Published in:

IEEE Transactions on Image Processing  (Volume:6 ,  Issue: 4 )