نتایج جستجو برای: نرم افزار wavelet packet

تعداد نتایج: 155666  

2009
Xiaofu He Yue Lu Pengfei Shi

Recent research works have revealed that it is not difficult to spoof an automated iris recognition system using fake iris such as contact lens and paper print etc. Therefore, it is very important to detect fake iris as much as possible. In this paper, we propose a new fake iris detection method based on wavelet packet transform. First, wavelet packet decomposition is used to extract the featur...

1999
Carl Taswell

Top-down tree search algorithms with non-additive information cost comparisons as decision criteria have recently been proposed by Taswell for the selection of near-best bases in wavelet packet transforms. Advantages of top-down non-additive near-best bases include faster computation speed, smaller memory requirement, and extensibility to biorthogonal wavelets in addition to orthogonal wavelets...

2015
Rameez Asif Raed Abd-alhameed J. M. Noras J. G. Proakis M. Salehi Abdullah N. Al-Hinai A. Z. Sadik Z. M. Hussain B. G. Negash H. Nikookar H. J. Taha M. F. M. Salleh

Recent studies suggest that multicarrier systems using wavelets outperform conventional OFDM systems using the FFT, in that they have well-contained side lobes, improved spectral efficiency and BER performance, and they do not require a cyclic prefix. Here we study the wavelet packet and discrete wavelet transforms, comparing the BER performance of wavelet transform-based multicarrier systems a...

Journal: :Applied and Computational Harmonic Analysis 2018

Journal: :IEEJ Transactions on Electronics, Information and Systems 2006

Journal: :Applied and Computational Harmonic Analysis 2002

Journal: :International Journal of Computer Science and Informatics 2013

Journal: :International Journal of Computer Applications 2016

Journal: :The Journal of Advanced Navigation Technology 2016

2004
K. H. Ting W. Fung

AbsrroctMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to he studied, the limcdomain EEG signal can be analyzed Yia Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the nnavailahility of phase information in wavelet transform limit...

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