Abstract: The maximum-likelihood (ML) sequence detection problem for channels with memory is investigated. The Viterbi algorithm (VA) provides an exact solution. Its computational complexity is linear ...
Converts amateur radio SDR IQ recordings to NASA CCSDS Tracking Data Message (TDM) format for submission to NASA Artemis II and lunar mission Doppler tracking programs. You recorded a spacecraft ...
📄 Please read the official article for more information about this open source software: Open source map matching with Markov decision processes: A new method and ...
Abstract: Per-core Dynamic Voltage and Frequency (V/F) Scaling (DVFS) is a well-known methodology for achieving energy efficiency in multicore systems. Heuristic DVFS techniques provide fast, ...
Machine learning is the study of intelligent machines that can learn from data and anticipate future outcomes. One of the most important components of machine learning is dealing with uncertainty, ...
Hidden Markov Models (HMMs) are statistical models that predict sequences of unknown variables from observed data. HMMs are applicable in various contexts, including natural language processing (NLP).
With the popularity of new energy grids with high penetration rate, classic non-intrusive power load identification algorithms such as hidden Markov model (HMM) need to face the uncertainty caused by ...
The ventral visual stream (VVS) is a fundamental pathway involved in visual object identification and recognition. In this work, we present a hypothesis of a sequence of computations performed by the ...
Single-molecule approaches provide enormous insight into the dynamics of biomolecules, but adequately sampling distributions of states and events often requires extensive sampling. Although emerging ...
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