Results 301 to 310 of about 113,812 (347)

The multiple window parameter transform

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992
The multiwindow transform, an extension of parameter transform techniques that increase performance and scope by exploiting the long-range correlated information contained in multiple portions of an image, is presented. Multiple-window transforms allow the extraction of high-dimensional features with improvement in accuracy over conventional techniques
Andrea Califano, Ruud M. Bolle
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Tandem repeats detection in DNA sequences using Kaiser window based adaptive S-transform [PDF]

Bio-Algorithms and Med-Systems, 2017
In computational biology the development of algorithms for the identification of tandem repeats in DNA sequences is a challenging problem. Tandem repeats identification is helpful in gene annotation, forensics, and the study of human evolution.
Sunil Datt Sharma, Sanjeev Narayan Sharma   +1 more
exaly   +2 more sources

Real clifford windowed Fourier transform

Acta Mathematica Sinica, English Series, 2011
A higher dimensional windowed Fourier transform in the framework of Clifford analysis is constructed. It is called the Clifford windowed Fourier transform (abbreviated CWFT). This generalization also yields Clifford Gabor filters, which are well localized both in the spatial and Clifford Fourier domain.
Bahri, Mawardi, Adji, Sriwulan, Zhao, Ji Man   +2 more
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Windowed Fourier Transform

2015
In this chapter we will introduce a modification in the definition of the Fourier transform in order to obtain a transform with better localization properties in the time-frequency domain. This transform will give us better results for the purposes of function representation.
Jonas Gomes, Luiz Velho
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A window-based inverse Hough transform

Pattern Recognition, 2000
In this paper a new Hough transform inversion technique is proposed. It is a window-based inverse Hough transform algorithm, which reconstructs the original image using only the data of the Hough space and the dimensions of the image. In order to minimize memory and computing requirements, the original image is split into windows.
Anastasios L. Kesidis, Nikos Papamarkos
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A Sparse Analysis Window for Discrete Gabor Transform

Circuits, Systems, and Signal Processing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian Zhou 0006, Xianyong Fang, Liang Tao
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Inversion formula for the windowed Fourier transform, II

Advances in Computational Mathematics, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xudong Sun 0008, Wenchang Sun
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Shape Analysis with Anisotropic Windowed Fourier Transform

2016 Fourth International Conference on 3D Vision (3DV), 2016
We propose Anisotropic Windowed Fourier Transform (AWFT), a framework for localized space-frequency analysis of deformable 3D shapes. With AWFT, we are able to extract meaningful intrinsic localized orientation-sensitive structures on surfaces, and use them in applications such as shape segmentation, salient point detection, feature point description ...
Melzi, Simone, Rodola, Emanuele, Castellani, Umberto, Bronstein, Michael M.   +3 more
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Windowed Octonionic Fourier Transform

Circuits, Systems, and Signal Processing, 2022
Younis Ahmad Bhat, Neyaz A. Sheikh
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Windowed Fourier Transform

2019
This chapter presents the time–frequency analysis theory by introducing two variants of Fourier transform, i.e., short-time Fourier transform and Gabor filters. The chapter first analyzes the limitation of FT in capturing time and spatial info from a signal or image. It then introduces a naive windowed FT or STFT to overcome the limitation.
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