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   Articles with "fractional fourier" as a keyword



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A Low-Complexity Approach to Computation of the Discrete Fractional Fourier Transform

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recommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0503-z

Abstract: This paper proposes an effective approach to the computation of the discrete fractional Fourier transform for an input vector of any length N. This approach uses specific structural properties of the discrete fractional Fourier transformation… read more here.

Keywords: computation; discrete fractional; fractional fourier; approach ... See more keywords
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$$\varphi \hbox {FrMF}$$φFrMF: Fractional Fourier Matched Filter

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0562-1

Abstract: The paper develops a new interpretation of matched filtering of non-stationary signals in the fractional Fourier transform domain, which is beneficial for non-stationary/time–frequency signal processing applications. In the pursuit of establishing the theoretical and methodical… read more here.

Keywords: varphi hbox; matched filter; non stationary; fractional fourier ... See more keywords
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Optimized SVD-based robust watermarking in the fractional Fourier domain

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recommendations! Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6014-5

Abstract: Digital watermarking is one of the most effective methods for protecting multimedia from different kind of threats. It has been used for many purposes, like copyright protection, ownership identification, tamper detection, etc. Many watermarking applications… read more here.

Keywords: quality; method; robust watermarking; fractional fourier ... See more keywords
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Feature Extraction in Fractional Fourier Domain for Classification of Passive Sonar Signals

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recommendations! Published in 2019 at "Journal of Signal Processing Systems"

DOI: 10.1007/s11265-018-1347-x

Abstract: The acoustic signals radiated from the marine vessels contain information about their machinery characteristics that can be useful for the detection and classification purposes. To achieve reliable accuracy in classification task, informative discriminant features should… read more here.

Keywords: feature extraction; passive sonar; sonar; classification ... See more keywords
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Fractional Fourier Transform Based M-ary Chirp Modulation

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recommendations! Published in 2020 at "Journal of Shanghai Jiaotong University (science)"

DOI: 10.1007/s12204-020-2191-2

Abstract: In this paper, a novel M-ary chirp modulation scheme is proposed on the basis of the energy concentration property of chirp signals in fractional domain. In the proposed scheme, chirp signals with different phases are… read more here.

Keywords: chirp modulation; chirp signals; ary chirp; fractional fourier ... See more keywords
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Dual paths cryptosystem based on tilt Fresnel diffraction using non-spherical mirror and phase modulation in expanded fractional Fourier transform domain

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recommendations! Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-50263-4

Abstract: In this paper, a dual optics paths optical image cryptosystem based on tilt Fresnel diffraction and a phase modulation in extend fractional Fourier transform (eFrFT) domain is presented. The tilt Fresnel is designed by using… read more here.

Keywords: fourier transform; tilt fresnel; phase; fractional fourier ... See more keywords
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Hyperspectral Anomaly Detection by Fractional Fourier Entropy

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recommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2019.2940278

Abstract: Anomaly detection is an important task in hyperspectral remote sensing. Most widely used detectors, such as Reed–Xiaoli (RX), have been developed only using original spectral signatures, which may lack the capability of signal enhancement and… read more here.

Keywords: hyperspectral anomaly; anomaly detection; fourier entropy; fractional fourier ... See more keywords
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A Novel MuLoRa Modulation Based on Fractional Fourier Transform

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recommendations! Published in 2021 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2021.3095397

Abstract: LoRa has been widely used in the Internet of Things (IoT). However, since LoRa only supports single symbol transmission in its bandwidth, the bit rate of LoRa is limited. This restricts the future development of… read more here.

Keywords: mulora modulation; fractional fourier; lora; based fractional ... See more keywords
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Fractional Fourier Transform and Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3072249

Abstract: Most of the algorithms for hyperspectral anomaly detection (AD) are based on the original spectral signatures which may suffer noise contamination. In recent years, some AD algorithms based on deep learning (DL) and tensor have… read more here.

Keywords: based tensor; hyperspectral anomaly; anomaly detection; transferred cnn ... See more keywords

Fractional Fourier Transform Based Joint Adaptive Subspace Detection for Hyperspectral Anomaly Detection

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3150929

Abstract: The use of a transform domain is usually helpful to improve the performance of hyperspectral anomaly detection (AD). By fractional Fourier transform (FrFT), the signals obtain complementary characteristics in an intermediate domain between the original… read more here.

Keywords: hyperspectral anomaly; fourier transform; detection; anomaly detection ... See more keywords

Fractional Fourier Transform Meets Transformer Encoder

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3217975

Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many deep learning models. Transformer-based sequential input processing… read more here.

Keywords: signal processing; transform meets; transform; fourier transform ... See more keywords