2013
DOI: 10.1186/1687-6180-2013-102
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Relationship between sampling and multirate filterbanks in the linear canonical transform domain

Abstract: Multirate filterbanks have found applications in speech processing, image processing, communications, and in the development of new sampling theorems. This paper explores the relationship between sampling theorems and multirate filterbanks in the linear canonical transform (LCT) domain. The sampling identity and the interpolation identity for bandlimited signals in the LCT domain are discussed and then employed to obtain a discrete-time implementation for bandlimited signals in the LCT domain from their multic… Show more

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Cited by 4 publications
(13 citation statements)
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“…Especially, when choosing filter to be rbio1. 3 and A/B = 53, the proposed LCWT yields better results than the CVT for the MI, Q 0 , and Q W fusion metrics. Besides, the complexity and memory requirement of the 2D LCWT is much smaller than the CVT because of the fast algorithm we proposed here.…”
Section: Multi-focus Image Fusionmentioning
confidence: 91%
See 1 more Smart Citation
“…Especially, when choosing filter to be rbio1. 3 and A/B = 53, the proposed LCWT yields better results than the CVT for the MI, Q 0 , and Q W fusion metrics. Besides, the complexity and memory requirement of the 2D LCWT is much smaller than the CVT because of the fast algorithm we proposed here.…”
Section: Multi-focus Image Fusionmentioning
confidence: 91%
“…The linear canonical transform (LCT), the generalization of the Fourier transform (FT), the fractional Fourier transform (FrFT), the Fresnel transform and the scaling operations, has been found useful in many applications such as optics [1,2] and signal processing [3][4][5][6][7][8][9][10][11]. Higher concentration and lower sampling rate make the LCT more competent to resolve non-stationary signals.…”
Section: Introductionmentioning
confidence: 99%
“…Comparing to the FRFT with one extra degree of freedom and FT without a parameter, the LCT is more flexible and has been found many applications in optics, radar system analysis, signal separation, phase retrieval, pattern recognition, filter design and many others [4,[8][9][10][11][12][13][14][15][16]. As a generalisation of FT and FRFT, the relevant theory of LCT has been developed including the convolution theorem [13][14][15][16], uncertainty principle [17,18], sampling theory [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] and so on; this can enrich the theoretical framework of the LCT and advance the application of the LCT.…”
Section: Introductionmentioning
confidence: 99%
“…It is central in almost any domain because it provides the link between the continuous physical signals and the discrete domain. As the LCT has recently been found many applications in signal processing, the sampling theorem expansions for the LCT of compact functions in time domain or LCT domain have been derived from different perspectives [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. In particular, the uniform sampling expansions for the band-limited signal in the LCT domain were derived using different methods [21][22][23][24][25][26]; the spectral analysis and reconstruction of a uniform sampled signal band-limited in the LCT domain are presented [23].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation