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CDC
2015
IEEE
2015
IEEE
Zero-delay rate-distortion optimization for partially observable Gauss-Markov processes
Abstract— In this paper, we consider rate-distortion tradeoff problems for time-varying, multi-dimensional, partially observable Gauss-Markov processes subject to the zero-delay constraint. As a distortion metric, we consider the mean square errors between the hidden state process and the reconstructed process. It is shown that an optimal test channel can be realized by a cascade connection of a pre-Kalman filter estimating the hidden state of the Gauss-Markov process, an additive white Gaussian noise channel, and a post-Kalman filter estimating the internal state of the pre-Kalman filter. An optimal test channel can be constructed by semidefinite programming (SDP). We also show that for stationary sources, there exists a time-invariant optimal test channel, which can also be found by SDP. NOTATION In this paper, upper-case calligraphic symbols such as X are used to denote Euclidean spaces. A symbol BX denotes the Borel σ-algebra on X with respect to the usual topology. An (X, B...
| Added | 18 Apr 2016 |
| Updated | 18 Apr 2016 |
| Type | Journal |
| Year | 2015 |
| Where | CDC |
| Authors | Takashi Tanaka |
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