منابع مشابه
Denoising Gabor Transforms
We describe denoising one-dimensional signals by thresholding Blackman windowed Gabor transforms. This method is compared with Gauss-windowed Gabor threshold denoising and wavelet-based denoising, and is found to be superior in most cases. A new, localized estimator of noise standard deviation is also obtained. Our work provides the first step in developing an adaptive denoising method for non-...
متن کاملDiscrete multiwindow Gabor-type transforms
The discrete (finite) Gabor scheme is generalized by incorporating multiwindows. Two approaches are presented for the analysis of the multiwindow scheme: the signal domain approach and the Zak transform domain approach. Issues related to undersampling, critical sampling, and oversampling are considered. The analysis is based on the concept of frames and on generalized (Moore-Penrose) inverses. ...
متن کاملGabor-type matrices and discrete huge Gabor transforms
We introduce a class of Gabor-type matrices and show that the product of two Gabor-type matrices is still a Gabor-type matrix possessing the same type. The key point is based on the fact that the multiplication of Gabor-type matrices can be converted into the \multiplication" of small block matrices. We propose an eecient algorithm, the specially devised block-multiplication. As an interesting ...
متن کاملA Parallel Algorithm for Discrete Gabor Transforms
Serial algorithms to evaluate the Gabor transform of a discrete signal are bound by the length of signal for which the transform can be evaluated. The time taken, if machine memory and other factors are ignored, grows as order O(N) making it unsuitable for transforms of large signal lengths. In this paper, we present a parallel algorithm to generate the computationally intensive Gabor transform...
متن کاملPalmprint Recognition Based on Gabor Transforms and Invariant Moments*
Proposed a method of combining two-dimensional Gabor transforms and invariant moments to extract palmprint feature, and using multilayer towards feedback neural network for training palmprint images to recognize. This method first pretreated the collected palmprint images and got the region of interest (ROI), then constructed a set of Gabor filters to get ROI eigenvectors, combined with the pal...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2010
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2010.2042480