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Jun 6, 2024 · The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states in a Hidden Markov Model (HMM).
Mar 18, 2024 · Essentially, the Viterbi Algorithm transforms an exponentially complex problem into one of linear complexity. This might be the greatest reduction in complexity ...
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Apr 24, 2024 · This paper proposes a low-complexity maximum likelihood sequence estimation (MLSE) algorithm tailored for non-return-to-zero (NRZ) high- speed transceivers.
Jul 15, 2024 · The advantage of using a Serial decoder lies in its typically reduced complexity and lower hardware resources usage, compared to a Parallel decoder. This ...
Oct 25, 2023 · One way to optimize the Viterbi algorithm is to simplify the trellis diagram by reducing the number of states and branches. This can be done by using punctured ...
Feb 12, 2024 · In this paper, we introduce a low-complexity, low-latency algorithm based on a feedforward structure, yielding a performance between DFE and MLSE. We call the ...
Apr 24, 2024 · Although the Viterbi algorithm reduces MLSE complexity, its complexity and power consumption remain prohibitive. • MLSE is currently considered the optimal ...
Mar 1, 2024 · Applying DFE-3 states to the trellis-based algorithms offer a big advantage of complexity reduction. In this section, a rough complexity analysis of MLM and ...
Dec 12, 2023 · In this scenario, the complex value neural network (CVNN) and RVNN equalizer connected with the Viterbi-Viterbi algorithm have better BER performance with an ...
Jan 30, 2024 · For the reason that the LC-OSD with the DAI stopping criterion has much lower time complexity without incurring noticeable performance loss8, we use the LC-OSD ...