A Markovian technique is described to calculate the exact performance of the Viterbi algorithm used as either a channel decoder or a source encoder for a convolutional code. The probability of information bit error and the expected Hamming distortion are computed for codes of various rates and constraint lengths. The concept of tie-breaking rules is introduced and its influence on decoder performance is examined. Computer simulation is used to verify the accuracy of the results. Finally, we discuss the issue of when a coded system outperforms an uncoded system in light of the new result
Concepts involved in determining the performance of coded digital communications systems are introdu...
Abstract. The advantage of Viterbi decoding, compared with brute–force decoding, is that the complex...
This thesis compares the accuracy and complexity of Raghavan and Baum’s Reliability Out-put Viterbi ...
Convolutional codes are characterized by a trellis structure. Maximum-likelihood decoding is charact...
Maximum likelihood (ML) decoding of short constraint length convolutional codes became feasible with...
Forty years ago, Viterbi published upper bounds on both the first error event (burst error) and bit ...
This paper presents new computationally efficient and accurate techniques for estimating the perform...
Convolutional encoding with Viterbi decoding is a FEC technique that is particularly suited to a cha...
An explicit method is given to evaluate Viterbi's union bounds on both the first event error probabi...
Abstract—In 1995, Best et al. published a formula for the exact bit error probability for Viterbi de...
The objective of a digital communication system is to provide accurate transmission of information f...
In 1995, Best et al. published a formula for the exact bit error probability for Viterbi decoding of...
In 1995, Best et al. published a formula for the exact bit error probability for Viterbi decoding of...
Abstract — It is well known that convolutional codes can be optimally decoded by using the Viterbi A...
Any communication scheme's principal goal is providing error-free data transmission. By increasing t...
Concepts involved in determining the performance of coded digital communications systems are introdu...
Abstract. The advantage of Viterbi decoding, compared with brute–force decoding, is that the complex...
This thesis compares the accuracy and complexity of Raghavan and Baum’s Reliability Out-put Viterbi ...
Convolutional codes are characterized by a trellis structure. Maximum-likelihood decoding is charact...
Maximum likelihood (ML) decoding of short constraint length convolutional codes became feasible with...
Forty years ago, Viterbi published upper bounds on both the first error event (burst error) and bit ...
This paper presents new computationally efficient and accurate techniques for estimating the perform...
Convolutional encoding with Viterbi decoding is a FEC technique that is particularly suited to a cha...
An explicit method is given to evaluate Viterbi's union bounds on both the first event error probabi...
Abstract—In 1995, Best et al. published a formula for the exact bit error probability for Viterbi de...
The objective of a digital communication system is to provide accurate transmission of information f...
In 1995, Best et al. published a formula for the exact bit error probability for Viterbi decoding of...
In 1995, Best et al. published a formula for the exact bit error probability for Viterbi decoding of...
Abstract — It is well known that convolutional codes can be optimally decoded by using the Viterbi A...
Any communication scheme's principal goal is providing error-free data transmission. By increasing t...
Concepts involved in determining the performance of coded digital communications systems are introdu...
Abstract. The advantage of Viterbi decoding, compared with brute–force decoding, is that the complex...
This thesis compares the accuracy and complexity of Raghavan and Baum’s Reliability Out-put Viterbi ...