This paper investigates the interpolation formulae and the sampling theorem for bandpass signals in the linear canonical transform (LCT) domain. Firstly, one of the important relationships between the bandpass signals in the Fourier domain and the bandpass signals in the LCT domain is derived. Secondly, two interpolation formulae from uniformly sampled points at half of the sampling rate associated with the bandpass signals and their generalized Hilbert transform or the derivatives in the LCT domain are obtained. Thirdly, the interpolation formulae from nonuniform samples are investigated. The simulation results are also proposed to verify the correctness of the derived results
Abstract. The linear canonical transform (LCT), is the name of a parameterized continuum of transfor...
A signal may have compact support, be band-limited (i.e., its Fourier transform has compact support)...
We introduce a linear time-varying (LTV) system framework for the modeling and design of linear algo...
A discrete linear canonical transform would facilitate numerical calculations in many applications i...
Whittaker's (or Shannon 's) Sampling Theorem is a well-known interpolation formula that has been ext...
Linear canonical transforms (LCTs) are a family of integral transforms with wide application in opti...
We deal with the problem of efficient and accurate digital computation of the samples of the linear ...
In recent years many of the results for bandlimited sampling have been extended to the case of nonba...
The sampling theorem states that any frequency bandlimited signal can be exactly reconstructed from ...
The paper addresses the problem of signal-dependent sampling of analogue signals according to local ...
The reconstruction of an unknown continuously defined function from the samples of the responses o...
The linear canonical transform describes the effect of first-order quadratic phase optical systems o...
A lecture note introducing the sampling theorem as an interpolation method is presented. The relatio...
Several essential properties of the linear canonical transform (LCT) are provided. Some results rela...
The linear canonical transform describes the effect of first-order quadratic phase optical systems on...
Abstract. The linear canonical transform (LCT), is the name of a parameterized continuum of transfor...
A signal may have compact support, be band-limited (i.e., its Fourier transform has compact support)...
We introduce a linear time-varying (LTV) system framework for the modeling and design of linear algo...
A discrete linear canonical transform would facilitate numerical calculations in many applications i...
Whittaker's (or Shannon 's) Sampling Theorem is a well-known interpolation formula that has been ext...
Linear canonical transforms (LCTs) are a family of integral transforms with wide application in opti...
We deal with the problem of efficient and accurate digital computation of the samples of the linear ...
In recent years many of the results for bandlimited sampling have been extended to the case of nonba...
The sampling theorem states that any frequency bandlimited signal can be exactly reconstructed from ...
The paper addresses the problem of signal-dependent sampling of analogue signals according to local ...
The reconstruction of an unknown continuously defined function from the samples of the responses o...
The linear canonical transform describes the effect of first-order quadratic phase optical systems o...
A lecture note introducing the sampling theorem as an interpolation method is presented. The relatio...
Several essential properties of the linear canonical transform (LCT) are provided. Some results rela...
The linear canonical transform describes the effect of first-order quadratic phase optical systems on...
Abstract. The linear canonical transform (LCT), is the name of a parameterized continuum of transfor...
A signal may have compact support, be band-limited (i.e., its Fourier transform has compact support)...
We introduce a linear time-varying (LTV) system framework for the modeling and design of linear algo...