[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhao et al., 2014 - Google Patents

Recovery of bandlimited signals in linear canonical transform domain from noisy samples

Zhao et al., 2014

Document ID
17241542610217303537
Author
Zhao H
Wang R
Song D
Publication year
Publication venue
Circuits, Systems, and Signal Processing

External Links

Snippet

The linear canonical transform (LCT) has been shown to be a useful and powerful tool for signal processing and optics. Many reconstruction strategies for bandlimited signals in LCT domain have been proposed. However, these reconstruction strategies can work well only if …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141Discrete Fourier transforms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/14Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/147Discrete orthonormal transforms, e.g. discrete cosine transform, discrete sine transform, and variations therefrom, e.g. modified discrete cosine transform, integer transforms approximating the discrete cosine transform
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/17Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4084Transform-based scaling, e.g. FFT domain scaling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution

Similar Documents

Publication Publication Date Title
Zhao et al. Recovery of bandlimited signals in linear canonical transform domain from noisy samples
Shi et al. Extrapolation of bandlimited signals in linear canonical transform domain
Shi et al. Multiresolution analysis and orthogonal wavelets associated with fractional wavelet transform
Stern Sampling of compact signals in offset linear canonical transform domains
Desvillettes et al. Smoothness of the solution of the spatially homogeneous Boltzmann equation without cutoff
Patton et al. Phase retrieval for radar waveform optimization
Plonka et al. How many Fourier samples are needed for real function reconstruction?
Pohl et al. Phaseless signal recovery in infinite dimensional spaces using structured modulations
Wei et al. Reconstruction of band-limited signals from multichannel and periodic nonuniform samples in the linear canonical transform domain
Wei et al. Sampling reconstruction of N-dimensional bandlimited images after multilinear filtering in fractional Fourier domain
Zhao et al. Extrapolation of discrete bandlimited signals in linear canonical transform domain
Fang et al. Sub-Nyquist sampling and reconstruction model of LFM signals based on blind compressed sensing in FRFT domain
Li et al. Joint Doppler shift and time delay estimation by deconvolution of generalized matched filter
Zhao et al. An Extrapolation Algorithm for $(a, b, c, d) $-Bandlimited Signals
Wei et al. Sampling of bandlimited signals in the linear canonical transform domain
Lee et al. A one-step patch near-field acoustical holography procedure
Wei et al. Sampling and series expansion for linear canonical transform
Zhang et al. Sampling theorems for bandlimited functions in the two-dimensional LCT and the LCHT domains
Zhou et al. A 1-bit compressive sensing approach for SAR imaging based on approximated observation
Wang et al. Low storage space for compressive sensing: semi-tensor product approach
Song et al. Stochastic formulation of (a, b, c, d)-bandlimited signal reconstruction
Beinert et al. Super-resolution for doubly-dispersive channel estimation
Dang Tighter uncertainty principles for periodic signals in terms of frequency
Han et al. Sparse signal reconstruction via expanded subspace pursuit
D’Elia et al. Boundedness of pseudodifferential operators with symbols in Wiener amalgam spaces on modulation spaces