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I'm the original author of the encoder. The optimisation is an implementation of the Viterbi algorithm able to tracks the state transitions of the output levels of the 3 channels of the PSG. The PSG i…
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Ubiquitous in cell phone technology, and many other applications, Viterbi algorithm is a Dynamic Programming based algorithm that finds the most likely sequence of states.
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The naive diploid Viterbi algorithm doesn't scale well with the number of reference haplotypes, slowing testing (#65). @astheeggeggs suggested an alternative implementation that "merges" partial ances…
szhan updated
2 months ago
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The Viterbi algorithm is a powerful dynamic programming approach for optimal path searching based on a hidden markov model. Tommy has written a working version of the Viterbi algorithm, but the code n…
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In your code, Channel Length is 2. Is that consequence length?
Because your CIR's length is 5. So I think L=L1+L2+1 that L1 is consequence length, and L2 is non-consequence length.
L1=L2=2, L=5.
B…
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The tutorial of DMM (Deep Markov Model) is great!
https://pyro.ai/examples/dmm.html#
I think there may be much more people, not only me, would like to see how to use the model to infer the most li…
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1. Function to naively-convert [0-1] seg probs to [0, 1] (just 0 or 1) - we will just use max on seg probs obtained from the current iterative sum-product (or some other future) algorithm so this is a…
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Research the internet about different implementations of the Viterbi algorithm.
- [ ] Research what the Viterbi Algorithm is.
- [ ] Choose a variation of the algorithm to implement.
- [ ] Researc…
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We want to add Viterbi decoding to PyTorch. Viterbi decoding is a well-known algorithm that finds the path of maximum likelihood over a time-varying distribution. It is used in automatic speech recogn…
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Currently, `sniff` fails to detect valid CSV files that other qsv commands can successfully open.
This is because, `sniff` is powered by the qsv-sniffer crate, which is a qsv-optimized fork of the un…