Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition

Abstract. In this paper, a novel representation called the subband face is proposed for face recognition. The subband face is generated from selected subbands obtained using wavelet decomposition of the original face image. It is surmised that certain subbands contain information that is more significant for discriminating faces than other subbands. The problem of subband selection is cast as a combinatorial optimization problem and genetic algorithm (GA) is used to find the optimum subband combination by maximizing Fisher ratio of the training features. The performance of the GA selected subband face is evaluated using three face databases and compared with other wavelet-based representations.

Comparison of two filterbank optimization criteria for VDSL transmission

In this paper, we consider the use of filterbank based multicarrier modulation for VDSL transmission. We compare two filterbank optimization criteria, i.e. the maximization of the time-frequency localization and the minimization of the out-of-band energy and we show that filterbank optimized according to the time-frequency criterion achieve better rates and allow the use of reduced size equalizers