← Search

Rodney A. Kennedy

9 accepted papers

2019

Accurate Reconstruction of Finite Rate of Innovation Signals on the Sphere

ICASSP 2019accepted

We propose a method for the accurate and robust reconstruction of the non-bandlimited finite rate of innovation signals on the sphere. For signals consisting of a finite number of Dirac functions on the sphere, we develop an annihilating filter based method for the accurate recovery of parameters of…

Cited by 0SourceScholar
2018

An Improved Iterative Algorithm for Band-Limited Signal Extrapolation on the Sphere

ICASSP 2018accepted

We develop an algorithm for the extrapolation of band-limited signals on the sphere. The proposed algorithm improves the accuracy of the extrapolation of band-limited signal by using the information contained in the out-of-band harmonic coefficients of the signal to update the extrapolated signal at…

Cited by 0SourceScholar
2017

Improving the spatial dimensionality of Gauss-Legendre and equiangular sampling schemes on the sphere

ICASSP 2017accepted

For the fast and exact computation of spherical harmonic transform (SHT) of a band-limited signal defined on the sphere from its samples, the Gauss-Legendre (GL) and equiangular sampling schemes on the sphere require asymptotically least number of samples. In comparison to the equiangular scheme, th…

Cited by 0SourceScholar
2017

Robust reconstruction of spherical signals with finite rate of innovation

ICASSP 2017accepted

We develop a robust method for the accurate reconstruction of non-bandlimited finite rate of innovation signals composed of finite number of Diracs. For the recovery of parameters of K Diracs defining the signal, the proposed method requires more than (K + √K) <sup xmlns:mml="http://www.w3.org/1998/…

Cited by 0SourceScholar
2015

An optimal dimensionality sampling scheme on the sphere for antipodal signals in diffusion magnetic resonance imaging

ICASSP 2015accepted

We propose a sampling scheme on the sphere and develop a corresponding spherical harmonic transform (SHT) for the accurate reconstruction of the diffusion signal in diffusion magnetic resonance imaging (dMRI). By exploiting the antipodal symmetry, we design a sampling scheme that requires the optima…

Cited by 0SourceScholar
2015

Spherical harmonic transform for minimum dimensionality regular grid sampling on the sphere

ICASSP 2015accepted

We develop a method to compute spherical harmonic transform (SHT) of a band-limited signal on the sphere discretized over a minimum dimensionality regular sampling grid on the sphere. For the computation of SHT of a signal band-limited at L, the proposed method requires L2 number of samples on a reg…

Cited by 0SourceScholar