Given a channel with additive noise and adversarial erasures, the task is to design a frame that allows for stable signal reconstruction from transmitted frame coefficients. To meet these specifications, we introduce numerically erasure-robust frames. We first consider a variety of constructions, including random frames, equiangular tight frames and group frames. Later, we show that arbitrarily large erasure rates necessarily induce numerical instability in signal reconstruction. We conclude with a few observations, including some implications for maximal equiangular tight frames and sparse frames
This dissertation is concerned with the efficient reconstruction of signals from frame coefficient e...
In the field of compressed sensing, a key problem remains open: to explicitly construct matrices wit...
AbstractTwo-uniform frames and their use for the coding of vectors are the main subject of this pape...
AbstractGiven a channel with additive noise and adversarial erasures, the task is to design a frame ...
In an earlier work, we proposed a frame-based kernel analysis approach to the problem of recovering ...
AbstractFrames have been used to capture significant signal characteristics, provide numerical stabi...
Abstract. Data erasure can often occur in communication. Guarding against erasures involves redundan...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
This dissertation studies the role of frames as codes. Frames are families of vectors that give rise...
Abstract — In a variety of signal processing and communi-cations contexts, erasures occur inadverten...
This paper examines erasure resilience of oversampled filter bank (OFB) codes, focusing on two fami...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
We establish a probability model for constructing optimal Parseval frames when erasures occur during...
Frames have been useful in signal transmission due to the built in redundancy. In recent years, the ...
This dissertation is concerned with the efficient reconstruction of signals from frame coefficient e...
In the field of compressed sensing, a key problem remains open: to explicitly construct matrices wit...
AbstractTwo-uniform frames and their use for the coding of vectors are the main subject of this pape...
AbstractGiven a channel with additive noise and adversarial erasures, the task is to design a frame ...
In an earlier work, we proposed a frame-based kernel analysis approach to the problem of recovering ...
AbstractFrames have been used to capture significant signal characteristics, provide numerical stabi...
Abstract. Data erasure can often occur in communication. Guarding against erasures involves redundan...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
This dissertation studies the role of frames as codes. Frames are families of vectors that give rise...
Abstract — In a variety of signal processing and communi-cations contexts, erasures occur inadverten...
This paper examines erasure resilience of oversampled filter bank (OFB) codes, focusing on two fami...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
We establish a probability model for constructing optimal Parseval frames when erasures occur during...
Frames have been useful in signal transmission due to the built in redundancy. In recent years, the ...
This dissertation is concerned with the efficient reconstruction of signals from frame coefficient e...
In the field of compressed sensing, a key problem remains open: to explicitly construct matrices wit...
AbstractTwo-uniform frames and their use for the coding of vectors are the main subject of this pape...