Parseval relationship of samples in the fractional Fourier transform domain
From MaRDI portal
Publication:1760687
DOI10.1155/2012/428142zbMath1252.42045DBLPjournals/jam/LiX12OpenAlexW2114928250WikidataQ58905878 ScholiaQ58905878MaRDI QIDQ1760687
Publication date: 15 November 2012
Published in: Journal of Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/428142
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (3)
Sampling in the linear canonical transform domain ⋮ On the fractional Fourier and continuous fractional wave packet transforms of almost periodic functions ⋮ Wigner-Ville distribution associated with the linear canonical transform
Cites Work
- Unnamed Item
- The discrete fractional Fourier transform based on the DFT matrix
- The fractional Fourier transform and quadratic field magnetic resonance imaging
- The Poisson sum formulae associated with the fractional Fourier transform
- Two dimensional discrete fractional Fourier transform
- Research progress of the fractional Fourier transform in signal processing
- Discrete fractional Fourier transform based on orthogonal projections
- Unified fractional Fourier transform and sampling theorem
- The discrete fractional Fourier transform
- Closed-form discrete fractional and affine Fourier transforms
- Fractional Fourier transform in the framework of fractional calculus operators
- Parseval relationship of nonuniform samples of one- and two-dimensional signals
- Extension of Parseval's relation to nonuniform sampling
- Spectral Analysis and Reconstruction for Periodic Nonuniformly Sampled Signals in Fractional Fourier Domain
- Short-Time Fractional Fourier Transform and Its Applications
- An uncertainty principle for real signals in the fractional Fourier transform domain
This page was built for publication: Parseval relationship of samples in the fractional Fourier transform domain
