Palmprint image denoising using low-pass filtering method or the neighborhood average filter method, these two methods can effectively suppress noise, but also filter out some of the edge information, but also some degree of edge blurring. Therefore, these two methods suitable characteristics in the extract palmprint mainline (palmprint certain sections of the thickest and longest), but not for the need to retain more edge information feature extraction. The wavelet transform is a signal processing method is more popular.

分数阶傅立叶变换实验\DiscreteTFDs\Changes
....................\............\..irplets\angle2cr.m
....................\............\.........\best_chirplet.m
....................\............\.........\cr2angle.m
....................\............\.........\crlb.m
....................\............\.........\est_c.m
....................\............\.........\est_cd_global.m
....................\............\.........\est_d.m
....................\............\.........\est_tf.m
....................\............\.........\find_chirplets.m
....................\............\.........\fisher.m
....................\............\.........\f_chirp.m
....................\............\.........\g_chirp.m
....................\............\.........\hessian.m
....................\............\.........\KandQ.m
....................\............\Contents.m
....................\............\Copyright
....................\............\Demos\demo_chirplets.m
....................\............\.....\demo_cohen.m
....................\............\.....\demo_localized.m
....................\............\.....\demo_ltvf.m
....................\............\.....\demo_tcd.m
....................\............\.....\demo_wigner4.m
....................\............\DTFDPath.m
....................\............\GNU_GPL
....................\............\Makefile
....................\............\Quartic\laf.m
....................\............\.......\localized.m
....................\............\.......\lwigner.m
....................\............\.......\tcd.m
....................\............\README
....................\............\Symplectic\chirp2rot.m
....................\............\..........\fracft.m
....................\............\..........\freq_shear.m
....................\............\..........\scale.m
....................\............\..........\time_shear.m
....................\............\ToDo
....................\............\.ypeI\choi_williams1.m
....................\............\.....\lacf1.m
....................\............\.....\margenau_hill1.m
....................\............\.....\rihaczek1.m
....................\............\.....\smooth1.m
....................\............\.....\spec1.m
....................\............\.....\stft1.m
....................\............\.....\wigner1.m
....................\............\.....I\binomial2.m
....................\............\......\born_jordan2.m
....................\............\......\lacf2.m
....................\............\......\levin2.m
....................\............\......\margenau_hill2.m
....................\............\......\page2.m
....................\............\......\qwigner2.m
....................\............\......\rihaczek2.m
....................\............\......\spec2.m
....................\............\......\stft2.m
....................\............\.....V\binomial4.m
....................\............\......\margenau_hill4.m
....................\............\......\qwigner4.m
....................\............\......\richman.m
....................\............\......\rihaczek4.m
....................\............\......\spec4.m
....................\............\......\stft4.m
....................\............\......\wigner4.m
....................\............\Utils\acf.m
....................\............\.....\add_noise.m
....................\............\.....\cconv.m
....................\............\.....\chirplets.m
....................\............\.....\circ.m
....................\............\.....\fmcubic.m
....................\............\.....\fmpoly.m
....................\............\.....\fmsin.m
....................\............\.....\hermite.m
....................\............\.....\lconv.m
....................\............\.....\ltv_filter.m
....................\............\.....\predictor.m
....................\............\.....\ptfd.m
....................\............\.....\ptfddb.m
....................\............\.....\ptfd_marg.m
....................\............\.....\sig_mom.m
....................\............\.....\s

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