
Viterbi algorithm - Wikipedia
The Viterbi algorithm is a dynamic programming algorithm for obtaining the maximum a posteriori probability estimate of the most likely sequence of hidden states—called the Viterbi path —that …
Andrew Viterbi - Wikipedia
Andrew James Viterbi (born Andrea Giacomo Viterbi, March 9, 1935) is an electrical engineer and businessman who co-founded Qualcomm Inc. and invented the Viterbi algorithm.
USC Viterbi School of Engineering
2016年10月11日 · The USC Viterbi School of Engineering is innovative, elite and internationally recognized for creating models of education, research and commercialization.
Viterbi Algorithm for Hidden Markov Models (HMMs)
2024年6月6日 · The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states in a Hidden Markov Model (HMM). It is widely used in various …
We seek the path through the trellis that has the maximum Pr ( I ∩ O ) At each column (time step) in the trellis, the Viterbi algorithm eliminates all but N possible state sequences.
Viterbi decoder - Wikipedia
A Viterbi decoder uses the Viterbi algorithm for decoding a bitstream that has been encoded using a convolutional code or trellis code. There are other algorithms for decoding a convolutionally …
About Andrew Viterbi - USC Viterbi | School of Engineering
2024年10月28日 · Andrew Viterbi earned one of the first doctorates in electrical engineering ever granted at USC. The "Viterbi Algorithm", a mathematical formula to eliminate signal …
About - USC Viterbi | School of Engineering
2016年12月21日 · USC Viterbi is a pioneer in restoring sight to the blind; restoring memory to sufferers of Alzheimer’s; and socially assistive robots to aid seniors with stroke or children with …
Intro to the Viterbi Algorithm - Medium
2021年3月2日 · What is the Viterbi Algorithm? The Viterbi Algorithm is a dynamic programming solution for finding the most probable hidden state sequence. If we have a set of states Q and …
The viterbi algorithm | IEEE Journals & Magazine | IEEE Xplore
The Viterbi algorithm (VA) is a recursive optimal solution to the problem of estimating the state sequence of a discrete-time finite-state Markov process observed in memoryless noise.
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