Add to ORKGSparse sampling with coprime lattice arrays was introduced recently in the literature. It has been shown that a dense coarray can be constructed from such a pair of arrays, and is useful in array processing and image processing applications. For example, the coarray allows one to identify many more sources than sensors. After a brief review of these fundamentals, this paper examines the case where the two arrays are generated by matrices that are adjugates of each other. In this case it is possible to obtain a dense rectangular tiling of the 2D frequency plane from a pair of coarse 2D DFT filter banks. The special case where the adjugate pairs are generated by skew circulant matrices has some advantages, which are examined in detail
Linear [one-dimensional (1-D)] sparse arrays such as nested arrays and minimum redundancy arrays hav...
Many modulated signals exhibit a cyclostationarity property, which can be exploited in direction-of-...
Sparse arrays, such as minimum redundancy arrays (MRA), nested arrays, and coprime arrays, can resol...
Sparse sampling with coprime lattice arrays was introduced recently in the literature. It has been s...
Consider two uniform samplers operating simultaneously on a signal, with sample spacings MT and NT w...
his chapter gives an overview of the concept of coprime sampling. The basic idea is that a continuou...
Commuting coprime pairs of integer matrices have been of interest in multidimensional multirate syst...
The analysis of the beampattern is the base of sparse arrays design process. However, in the case of...
This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a...
In this paper, we develop the theory of a new class of two dimensional arrays with sensors on lattic...
This thesis introduces a new class of array geometries based on Chinese remaindering theorem (CRT). ...
Sparse arrays provide a large aperture with few elements. Through an exhaustive search of all possib...
The nested and coprime arrays have recently been introduced as systematic structures to construct di...
Sparse arrays such as nested and coprime arrays use a technique called spatial smoothing in order to...
A new beamspace method for array processing, called convolutional beamspace (CBS), is proposed. It e...
Linear [one-dimensional (1-D)] sparse arrays such as nested arrays and minimum redundancy arrays hav...
Many modulated signals exhibit a cyclostationarity property, which can be exploited in direction-of-...
Sparse arrays, such as minimum redundancy arrays (MRA), nested arrays, and coprime arrays, can resol...
Sparse sampling with coprime lattice arrays was introduced recently in the literature. It has been s...
Consider two uniform samplers operating simultaneously on a signal, with sample spacings MT and NT w...
his chapter gives an overview of the concept of coprime sampling. The basic idea is that a continuou...
Commuting coprime pairs of integer matrices have been of interest in multidimensional multirate syst...
The analysis of the beampattern is the base of sparse arrays design process. However, in the case of...
This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a...
In this paper, we develop the theory of a new class of two dimensional arrays with sensors on lattic...
This thesis introduces a new class of array geometries based on Chinese remaindering theorem (CRT). ...
Sparse arrays provide a large aperture with few elements. Through an exhaustive search of all possib...
The nested and coprime arrays have recently been introduced as systematic structures to construct di...
Sparse arrays such as nested and coprime arrays use a technique called spatial smoothing in order to...
A new beamspace method for array processing, called convolutional beamspace (CBS), is proposed. It e...
Linear [one-dimensional (1-D)] sparse arrays such as nested arrays and minimum redundancy arrays hav...
Many modulated signals exhibit a cyclostationarity property, which can be exploited in direction-of-...
Sparse arrays, such as minimum redundancy arrays (MRA), nested arrays, and coprime arrays, can resol...