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NIPS
2007
13 years 10 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
AAAI
2006
13 years 10 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ICASSP
2011
IEEE
13 years 22 days ago
Single-carrier systems with MMSE linear equalizers: Performance degradation due to channel and CFO estimation errors
We assess the impact of the channel and carrier frequency offset (CFO) estimation errors on the performance of singlecarrier systems with MMSE linear equalizers. Performance degra...
Athanasios P. Liavas, Despoina Tsipouridou
DAC
1994
ACM
14 years 1 months ago
Exact and Approximate Methods for Calculating Signal and Transition Probabilities in FSMs
In this paper, we consider the problem of calculating the signal and transition probabilities of the internal nodes of the combinational logic part of a nite state machine (FSM). ...
Chi-Ying Tsui, Massoud Pedram, Alvin M. Despain
LMCS
2006
98views more  LMCS 2006»
13 years 9 months ago
Approximate reasoning for real-time probabilistic processes
We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisi...
Vineet Gupta, Radha Jagadeesan, Prakash Panangaden