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This paper proposes a high efficiency class-D amplifier (CDA) with embedded single-inductor bipolar output (SIBO) power module. The characteristics of SIBO converter's bipolar outputs not only suppress equivalent common-mode noise but also remove several large external bulky components in conventional boost supply CDA systems. Since bipolar outputs in the SIBO provide independent driving capability,...
This paper investigates control design focusing on noise rejection of disturbed nonlinear systems. The disturbance rejection scheme is proposed with a noise estimator, constructed upon a concern — most disturbances can be approximately described by a differential equation. A controller is further proposed to stabilize the considered system and simultaneously fulfill the disturbance compensation by...
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, consisting of two main steps: 1) multipoint estimation, calculating the estimates for a set of points within a shape-adaptive local support, and 2) aggregation, fusing a number of multipoint estimates available for each point...
Biological systems possess highly complex characteristics which are usually nonlinear and stochastic. How to estimate the states of that kind of systems is attractive to control engineers when the sensors are unavailable to measure desired information. In this paper, a robust estimation scheme based on the extended Kalman filter to estimate the state variables of a class of noisy gene regulatory networks...
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. The graph representation, which contains point-(image primitives), seedgraph-, and subgraph- three levels, are built up following the primal sketch theory to capture geometric, topological, and spatial information both in local...
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