Add to ORKGRecent work on fractionally spaced blind equalizers have shown that it is possible to exactly identify the channel and its input sequence from the noise-free channel outputs. However, the obtained results are based on a set of over-restrictive constrainst on the channel. In this paper it is shown that the exact identification can be achieved in a broader class of channels
Abstract—We study blind identification and equalization of finite impulse response (FIR) and multi-i...
The recovery of input signals in a frequency selective fad-ing channel is a problem of great theoret...
A subspace-based blind channel identification algorithm using only the fact that the received signal...
This paper considers the problem of blind channel estimation of multi channel FIR filters. This is a...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
We study blind identification and equalization of finite impulse response (FIR) and multi-input and ...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
The least-squares and the subspace methods are well known approaches for blind channel identificatio...
This thesis deals with the blind channel identification / equalization problem. Conventional non-bli...
The finite alphabet property of digital communication signals, along with oversampling techniques, e...
Abstract—We study blind identification and equalization of finite impulse response (FIR) and multi-i...
The recovery of input signals in a frequency selective fad-ing channel is a problem of great theoret...
A subspace-based blind channel identification algorithm using only the fact that the received signal...
This paper considers the problem of blind channel estimation of multi channel FIR filters. This is a...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
We address the problem of blind fractionally spaced channel (FSC) identification/equalisation when c...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
We study blind identification and equalization of finite impulse response (FIR) and multi-input and ...
The authors' approach to blind equalization examines the possible input sequences directly by using ...
The least-squares and the subspace methods are well known approaches for blind channel identificatio...
This thesis deals with the blind channel identification / equalization problem. Conventional non-bli...
The finite alphabet property of digital communication signals, along with oversampling techniques, e...
Abstract—We study blind identification and equalization of finite impulse response (FIR) and multi-i...
The recovery of input signals in a frequency selective fad-ing channel is a problem of great theoret...
A subspace-based blind channel identification algorithm using only the fact that the received signal...