Inverse problems in coding, automata, and continuous systems
FOCS '67 Proceedings of the 8th Annual Symposium on Switching and Automata Theory (SWAT 1967)
Matched filters for interfering signals (Corresp.)
IEEE Transactions on Information Theory
Intersymbol interference and error probability
IEEE Transactions on Information Theory
Radar signal design subject to simultaneous peak and average power constraints
IEEE Transactions on Information Theory
On receiver structures for channels having memory
IEEE Transactions on Information Theory
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory
The state-variable approach to analog communication theory
IEEE Transactions on Information Theory
Optimum linear transmission of analog data for channels with feedback
IEEE Transactions on Information Theory
Intersymbol interference error bounds with application to ideal bandlimited signaling
IEEE Transactions on Information Theory
On the Viterbi decoding algorithm
IEEE Transactions on Information Theory
Bayesian decision procedure for interfering digital signals (Corresp.)
IEEE Transactions on Information Theory
An adaptive receiver for digital signaling through channels with intersymbol interference
IEEE Transactions on Information Theory
A state-variable approach to the solution of Fredholm integral equations
IEEE Transactions on Information Theory
Further results on optimal decoding of convolutional codes (Corresp.)
IEEE Transactions on Information Theory
Realization of optimum interleavers
IEEE Transactions on Information Theory
Application of state-variable techniques to optimal feature extraction--- Multichannel analog data
IEEE Transactions on Information Theory
Intersymbol interference on a continuous-time Gaussian channel
IEEE Transactions on Information Theory
Analysis of decoders for convolutional codes by stochastic sequential machine methods
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Reducing the effects of intersymbol interference with correlation receivers
IEEE Transactions on Information Theory
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The optimum maximum likelihood receiver for estimating the information sequence that passes through a convolutional encoder and a channel with a known finite memory part followed by a noisy memoryless part is derived using control theoretic concepts. The problem is modeled as a regulator control problem in which the plant under consideration is a finite state machine with the information symbols as inputs. It is in a form in which dynamic programming can be applied to obtain a general solution. The case of sending pulse amplitude modulated (PAM) signals over a linear channel with additive white Gaussian noise is analyzed in detail and upper and lower bounds are derived for the performance criterion, the probability of an information sequence error. Applying the coding concept of concatenation, a suboptimum solution for overcoming the ''curse of dimensionality'' is discussed.