First attempts at incorporating models of frication into an articulatory synthesizer, with a modular and flexible design, are presented. Although the synthesizer allows the user to choose different combinations of source types, noise volume velocity sources have been used to generate turbulence. Preliminary results indicate that the model is capturing essential characteristics of the transfer f...

This paper proposes a novel approach for pedestrian reidentification. Previous re-identification methods use one of 3 approaches: invariant features; designing metrics that aim to bring instances of shared identities close to one another and instances of different identities far from one another; or learning a transformation from the appearance in one domain to the other. Our implicit approach ...

where A is the infinitesimal generator of the C0-semigroup T (t) on the state space X, B is a bounded linear operator from input space U to X, C is a bounded linear operator from X to the output space Y , and D is a bounded operator from U to Y . The spaces X, U and Y are assumed to be Banach spaces. More detail on the system (1) can be found in Curtain and Zwart [1]. For the system (1) we intr...

A circuit realization is presented for generalized one-multiplier lattice discrete two-dimensional (2-D) filters. The proposed structure has a minimun mumber of delay elements and multipliers. Based on this circuit realization, the corresponding state-space realization–representation is derived. The dimension of the 2-D state-space vector is minimal and the corresponding transfer function is ch...

This paper considers the structure of uncertain linear systems building on concepts of robust unobservability and possible controllability which were introduced in previous papers. The paper presents a new characterization of the possibly controllable states for the case in which a certain system transfer function is non-zero. This result complements the result of a previous paper which present...

It is shown that an arbitrary rational 2-D transfer function can be expanded in first order terms, each one of which is a function of only one of the two variables. This method leads naturally to reconfigurable fdters with great modularity and parallelism, which can realize any rational transfer function up to a given order.

An overview of central model quality results is given. The focus is on the variance of transfer functions. We look in particular into two questions: (1) Can the variance be smaller than that obtained by direct prediction error/output error? and (2) Can closed loop experiments give estimates with lower variance than open loop ones? The answer to both questions is yes.