Name
Abstract | ||
|---|---|---|
We consider quantization from the perspective of minimizing filtering error when quantized instead of continuous measurements are used as inputs to a nonlinear filter, specializing to discrete-time two-state hidden Markov models (HMMs) with continuous-range output. An explicit expression for the filtering error when continuous measurements are used is presented. We also propose a quantization scheme based on maximizing the mutual information between quantized observations and the hidden states of the HMM |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/78.890362 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
discrete time systems,hidden Markov models,nonlinear filters,quantisation (signal),state estimation,HMMs,continuous measurements,continuous-range output,discrete-time two-state hidden Markov models,filtering error,mutual information,nonlinear filter,quantization,quantized measurements,state-estimation,two-state hidden Markov model | Mathematical optimization,Algorithm,Filter (signal processing),Speech recognition,Quantization (physics),Mutual information,Discrete time and continuous time,Hidden Markov model,Quantization (signal processing),Nonlinear filter,Mathematics,Hidden semi-Markov model | Journal |
Volume | Issue | ISSN |
49 | 1 | 1053-587X |
Citations | PageRank | References |
10 | 0.83 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Shue | 1 | 12 | 1.23 |
| S. Dey | 2 | 24 | 3.19 |
| B. D. O. Anderson | 3 | 532 | 108.44 |
| De Bruyne, F. | 4 | 22 | 3.61 |