비터비 알고리즘

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  1. Fortunately, there is a technique known as the Viterbi algorithm for finding the optimizing state sequence in a much more efficient way.[1]
  2. The Viterbi algorithm, which is similar to the DTW algorithm, is based on dynamic programming.[1]
  3. One way to improve the Bit Error Rate (BER), while maintaining high data reliability, is to use an error correction technique like the Viterbi algorithm.[2]
  4. Before learning how to implement the Viterbi algorithm, it is first critical to gain clearer insight into how it works.[2]
  5. The convolutional code used by the Viterbi algorithm is defined by two parameters: code rate and constraint length.[2]
  6. The Viterbi algorithm is based on the Maximum-Likelihood decoding technique.[2]
  7. The obtained results show HMM based on Viterbi algorithm found effective and achieved great results in detecting the attacks with a high detection rate.[3]
  8. The observation made by the Viterbi algorithm is that for any state at time t, there is only one most likely path to that state.[4]
  9. This paper is a tutorial introduction to the Viterbi Algorithm, this is reinforced by an example use of the Viterbi Algorithm in the area of error correction in communications channels.[5]
  10. Some of the many application areas where the Viterbi Algorithm has been used are considered, including it's use in communications.[5]
  11. This algorithm is widely known as Viterbi Algorithm.[6]
  12. The Viterbi algorithm is used to efficiently infer the most probable “path” of the unobserved random variable in an HMM.[7]
  13. The Viterbi algorithm does detect an intron, but it gets the splice site positions wrong.[7]
  14. Viterbi Algorithm is usually used to find the most likely sequence in HMM.[8]
  15. In the DAG the Viterbi Algorithm works like Breath-First-Search (BFS) algorithm that searches the target level by level.[8]
  16. The Viterbi Algorithm is the one used in the paper to find the optimal path, while another approach is to use Topological Sort in the DAG.[8]
  17. Like the Viterbi Algorithm, the Dijkstra's algorithm solves the problem in a Dynamic Programming approach.[8]
  18. The authors address the formation of a Viterbi algorithm for maximum a posteriori (MAP) state sequence estimation of a discrete-time continuous-valued Markov process observed in memoryless noise.[9]
  19. The usual approach to this problem is to quantize the state space of the Markov process to obtain a standard discrete-state Viterbi algorithm.[9]
  20. They introduce an alternate approach based on piecewise linear approximation that allows a continuous-state formulation of the Viterbi algorithm.[9]
  21. AB - The authors address the formation of a Viterbi algorithm for maximum a posteriori (MAP) state sequence estimation of a discrete-time continuous-valued Markov process observed in memoryless noise.[9]
  22. It is desirable to be able to obtain the advantages of using a List Viterbi algorithm to decode blocks of information, without incurring the overhead of a tail.[10]
  23. The symbols are deinterleaved in deinterleaver 132 and the resulting sequence of symbols is applied to a Viterbi decoder that executes a List Viterbi algorithm, List Viterbi decoder 133.[10]
  24. A List Viterbi algorithm, or LVA, produces a rank ordered list of the L best candidates corresponding to a block of convolutionally coded data.[10]
  25. Thus, for blocks 1 and N, a hybrid List Viterbi algorithm may be used.[10]
  26. This recursion is known as the Viterbi Algorithm.[11]
  27. The Viterbi algorithm is the conventional, recursive, efficient way to decode a Hidden Markov Model that is to find the optimal state sequence, given the observation sequence and the model.[12]
  28. The main idea behind the Viterbi Algorithm is that we can calculate the values of the term π(k, u, v) efficiently in a recursive, memoized fashion.[13]
  29. The purpose of the Viterbi algorithm is to make an inference based on a trained model and some observed data.[14]
  30. The Viterbi algorithm is an efficient way to make an inference, or prediction, to the hidden states given the model parameters are optimized, and given the observed data.[14]
  31. this section we will describe the Viterbi algorithm in more detail.[15]
  32. o illustrate how the Viterbi algorithm obtains this shortest path, we need to represent the Markov process in an easy way.[15]
  33. Using optimal soft-decision decoding algorithm for convolutional codes, such as the Viterbi algorithm, the possible sequence of signals is modeled as a trellis structure.[16]
  34. The modified Viterbi algorithm is shown in Figure 3.[17]
  35. Figure 3 Viterbi algorithm implementation with linked list.[17]

소스

  1. ↑ 1.0 1.1 Viterbi
  2. ↑ 2.0 2.1 2.2 2.3 Implementing the Viterbi Algorithm in Today's Digital Communications Systems
  3. ↑ Network Traffic Anomaly Detection based on Viterbi Algorithm Using SNMP MIB Data
  4. ↑ Steve's Explanation of the Viterbi Algorithm
  5. ↑ 5.0 5.1 WRAP: Warwick Research Archive Portal
  6. ↑ Viterbi Algorithm
  7. ↑ 7.0 7.1 Viterbi algorithm
  8. ↑ 8.0 8.1 8.2 8.3 Algorithms
  9. ↑ 9.0 9.1 9.2 9.3 Implementation of a continuous-state Viterbi algorithm for MAP state estimation
  10. ↑ 10.0 10.1 10.2 10.3 US6108386A - List Viterbi algorithms for continuous data transmission - Google Patents
  11. ↑ Viterbi algorithm
  12. ↑ Viterbi Algorithm
  13. ↑ A deep dive into part-of-speech tagging using the Viterbi algorithm
  14. ↑ 14.0 14.1 Viterbi algorithm for prediction with HMM — Part 3 of the HMM series
  15. ↑ 15.0 15.1 The Viterbi Algorithm
  16. ↑ Viterbi Algorithm - an overview
  17. ↑ 17.0 17.1 Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory

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