Monte Carlo Inference for Hidden Markov Models
Invention type: Technology, Software
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Case number: #12326
A method of equalization used to estimate a transmitted signal given a received output is presented herein. The equalization method involves modeling a transmission channel as a Hidden Markov Model (HMM). The HMM channel is evaluated as a finite state machine. A Markov Chain Monte Carlo technique of sampling and computation is then utilized to estimate the transmitted signal.
Researchers
Moe Win
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Henk Wymeersch
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Faisal Kashif
Departments: Department of Aeronautics and Astronautics
Technology Areas: Communication Systems: Wireless / Computer Science: Networking & Signals
Impact Areas: Advanced Materials
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method and apparatus for determining inputs to a finite state system
United States of America | Granted | 8,315,955
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