Data Stream Systems (DSSs) use cost models to determine if a DSS can cope with a given workload and to optimize query graphs. However, certain relevant input parameters of these models are often unknown or highly imprecise. Especially selectivities are stream-dependent and application-specific parameters. In this paper, we describe a method that supports selectivity estimation considering input...

We propose a statistical phase-shifting estimation algorithm for temporal phase-shifting interferometry (PSI) based on the continuous wavelet transform (CWT). The proposed algorithm explores spatial information redundancy in the intraframe interferogram dataset using the phase recovery property on the power ridge of the CWT. Despite the errors introduced by the noise of the interferogram, the s...

Power system state estimation is a process to find the bus voltage magnitudes and phase angles at every bus based on a given measurement set. The state estimation convergency is related to the sufficiency of the measurement set. Observability analysis actually tests this kind of problem and guarantees the state estimation accuracy. A new and useful algorithm is proposed and applied in this pape...

Estimation of time-varying motion parameters of moving objects is considered. The motion parameters are mapped into the instantaneous frequency (IF) of a frequency modulated (FM) signal. The IF estimation is obtained using the Wigner distribution (WD). Generalization in the case of multiple objects and reduced interference distributions is given. A new propagation approach is proposed for joint...

We address the problem of estimating the phase φ given N copies of the phase rotation uφ within an array of quantum operations in finite dimensions. We first consider the special case where the array consists of an arbitrary input state followed by any arrangement of the N phase rotations, and ending with a POVM. We optimise the POVM for a given input state and fixed arrangement. Then we also o...

Two important classes of manifolds of quantum states, the locally quasi-classical manifold and the quasi-classical manifold, are introduced from the estimation theoretical viewpoint, and they are characterized geometrically by the vanishing conditions of the relative phase factor (RPF), implying the close tie between Uhlmann parallel transport and the quantum estimation theory.

Shibdas Roy, ∗ Dominic W. Berry, † Ian R. Petersen, ‡ and Elanor H. Huntington 4, § Department of Electrical and Computer Engineering, National University of Singapore, Singapore Department of Physics and Astronomy, Macquarie University, Sydney Research School of Engineering, Australian National University, Canberra Centre for Quantum Computation and Communication Technology, Australian Researc...

In this paper, it is pointed out that the Berry’s phase is a good index of degree of no-commutativity of the quantum statistical model. Intrinsic relations between the ‘complex structure’ of the Hilbert space and Berry’s phase is also discussed.

This paper presents a set of cepstral parameters based on timevarying linear prediction. The lattice filter structure is utilized to accommodate efficient stabilization of models and a Bark-like warped frequency scale. As the proposed cepstral features are based on non-stationary spectral analysis there is a potential for complementary information not captured in conventional features. In class...

We show how optical flow estimates can be combined with boundary estimation to improve estimates of motion. The improvement is associated with blending of estimates from complementary bases of operation. The paper combines a phase-based method for optical flow with a time extended version of the phase congruency operator. By evaluation on synthetic and real image sequences, the combination of t...