We propose new approaches to the problems of recovering signals from the rearranged frame coefficients or frame coefficients with erasures at either known or unknown locations. These problems naturally arise from applications, where the encoded information needs to be transmitted, for example, in signal/image processing, information and coding theory, and communications. We show that with the appropriate choices of the frames that are used for encoding, the signal with erasures occurring at known locations can be easily recovered without inverting the (sub)frame operators each time. Our new easy to implement and cost-efficient algorithm provides perfect reconstruction of the original signal. To address the problem of recovering erased coeff...
Abstract. Recovering missing data from its partial samples is a fundamental problem in mathematics a...
AbstractIn modern communication systems such as the Internet, random losses of information can be mi...
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
In an earlier work, we proposed a frame-based kernel analysis approach to the problem of recovering ...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
This dissertation is concerned with the efficient reconstruction of signals from frame coefficient e...
Given a channel with additive noise and adversarial erasures, the task is to design a frame that all...
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...
AbstractTwo-uniform frames and their use for the coding of vectors are the main subject of this pape...
We discuss the problem of recovering signal from frame coefficients with erasures. Such problems ari...
This paper examines erasure resilience of oversampled filter bank (OFB) codes, focusing on two fami...
AbstractFrames have been used to capture significant signal characteristics, provide numerical stabi...
Frames have been useful in signal transmission due to the built in redundancy. In recent years, the ...
Abstract. Recovering missing data from its partial samples is a fundamental problem in mathematics a...
AbstractIn modern communication systems such as the Internet, random losses of information can be mi...
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
In an earlier work, we proposed a frame-based kernel analysis approach to the problem of recovering ...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
This dissertation is concerned with the efficient reconstruction of signals from frame coefficient e...
Given a channel with additive noise and adversarial erasures, the task is to design a frame that all...
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...
AbstractTwo-uniform frames and their use for the coding of vectors are the main subject of this pape...
We discuss the problem of recovering signal from frame coefficients with erasures. Such problems ari...
This paper examines erasure resilience of oversampled filter bank (OFB) codes, focusing on two fami...
AbstractFrames have been used to capture significant signal characteristics, provide numerical stabi...
Frames have been useful in signal transmission due to the built in redundancy. In recent years, the ...
Abstract. Recovering missing data from its partial samples is a fundamental problem in mathematics a...
AbstractIn modern communication systems such as the Internet, random losses of information can be mi...
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients...