two-dimensional, maximumlikelihood, sequence detection, intersymbol interference, multiuser detection, Viterbi algorithm, NP completeness We consider a two-dimensional version of the classical maximumlikelihood sequence detection problem for a binary antipodal signal that is corrupted by linear intersymbol interference (ISI) and then passed through a memoryless channel. For one-dimensional signals and fixed ISI, this detection problem is well-known to be efficiently solved using the Viterbi algorithm. We show that the two-dimensional version is, in general, intractable, in the sense that a decision formulation of the problem is NP complete for a certain fixed two-dimensional ISI and memoryless channel with errors and erasures. We also exten...
The issue of maximum-likelihood page detection (MLPD) of a two-dimensional (2-D) interference channe...
New noncoherent sequence detection algorithms for combined demodulation and decoding of coded linear...
In this paper, we studied the performance of the iterated Viterbi detection methods using the multi-...
Near-optimum sequence detection in channels with intersymbol interference (ISI) is based on the Vite...
In 1972, Forney proposed a maximum likelihood sequence estimator for digital PAM (pulse amplitude mo...
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to mo...
In this thesis, we study the problem of communication over two-dimensional (2-D) interference channe...
The maximum-likelihood (ML) sequence detection problem for channels with memory is investigated. The...
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to mo...
The maximum-likelihood (ML) detection problem for channels with memory is investigated. The Viterbi ...
Detection algorithms working directly on discrete alphabet for one-dimensional long intersymbol inte...
This paper considers the average complexity of maximum likelihood (ML) decoding of convolutional cod...
Decoding convolutional codes with binary digital modulation in intersymbol interference (ISI) channe...
We develop several novel signal detection algorithms for two-dimensional intersymbol-interference ch...
Based on a polynomial representation of a memoryless bandpass nonlinearity, a new realization of an ...
The issue of maximum-likelihood page detection (MLPD) of a two-dimensional (2-D) interference channe...
New noncoherent sequence detection algorithms for combined demodulation and decoding of coded linear...
In this paper, we studied the performance of the iterated Viterbi detection methods using the multi-...
Near-optimum sequence detection in channels with intersymbol interference (ISI) is based on the Vite...
In 1972, Forney proposed a maximum likelihood sequence estimator for digital PAM (pulse amplitude mo...
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to mo...
In this thesis, we study the problem of communication over two-dimensional (2-D) interference channe...
The maximum-likelihood (ML) sequence detection problem for channels with memory is investigated. The...
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to mo...
The maximum-likelihood (ML) detection problem for channels with memory is investigated. The Viterbi ...
Detection algorithms working directly on discrete alphabet for one-dimensional long intersymbol inte...
This paper considers the average complexity of maximum likelihood (ML) decoding of convolutional cod...
Decoding convolutional codes with binary digital modulation in intersymbol interference (ISI) channe...
We develop several novel signal detection algorithms for two-dimensional intersymbol-interference ch...
Based on a polynomial representation of a memoryless bandpass nonlinearity, a new realization of an ...
The issue of maximum-likelihood page detection (MLPD) of a two-dimensional (2-D) interference channe...
New noncoherent sequence detection algorithms for combined demodulation and decoding of coded linear...
In this paper, we studied the performance of the iterated Viterbi detection methods using the multi-...