We propose a discrete fractional random transform based on a generalization of the discrete fractional Fourier transform with an intrinsic randomness. Such discrete fractional random transform inheres excellent mathematical properties of the fractional Fourier transform along with some fantastic fea
A discrete fractional angular transform
β Scribed by Zhengjun Liu; Muhammad Ashfaq Ahmad; Shutian Liu
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 471 KB
- Volume
- 281
- Category
- Article
- ISSN
- 0030-4018
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β¦ Synopsis
A new discrete fractional transform defined by two parameters (angle and fractional order) is presented. All eigenvectors of the transform are obtained by an angle using recursion method. This transform is named as discrete fractional angular transform (DFAT). The computational load of kernel matrix of the DFAT is minimum than all other transforms with fractional order. This characteristics has very important practical applications in signal and image processing. Numerical results and the mathematical properties of this transform are also given. As fractional Fourier transform, this transform can be applied in one and two dimensional signal processing.
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