This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces t...
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This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.
In many embedded control system applications, the control algorithm includes both logical and data flow portions. We apply formal methods of system verification to discrete-state algorithms. Specifically, we make use ...
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ISBN:
(纸本)0780365666
In many embedded control system applications, the control algorithm includes both logical and data flow portions. We apply formal methods of system verification to discrete-state algorithms. Specifically, we make use of a formal model checking tool to prove or disprove various properties of the algorithm. Questions pertaining to the achievability of states and paths and proper variable assignment are cast as logical assertions in computation tree logic (CTL), and evaluated using the model checker. In addition, we describe an approach for generating scenarios; that is, a sequence of inputs and parameters that will take a discrete-state system model through a given sequence. We present several examples illustrating various questions that the designer may wish to pose, and an appropriate CTL assertion for each.
This paper presents the design and simulation of an autopilot for a nonaxisymmetric missile model to robustly track planar bank-to-turn (BTT) maneuvers while regulating sideslip. The method used to design the autopilo...
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This paper presents the design and simulation of an autopilot for a nonaxisymmetric missile model to robustly track planar bank-to-turn (BTT) maneuvers while regulating sideslip. The method used to design the autopilot relies on trajectory linearization and is realized through two controller subdesigns. The first design problem involves finding a nonlinear dynamic inverse for the plant. The second design involves designing a trajectory stabilizing controller using a parallel D-eigenvalue stability concept developed for linear time varying (LTV) systems. The autopilot designed by this method is then compared with autopilots designed using two other nonlinear methods.
In a number of array signal processing applications, such as underwater source localization, the propagation medium is not homogeneous, which causes a distortion of the wavefront received by the array. In this paper, ...
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In a number of array signal processing applications, such as underwater source localization, the propagation medium is not homogeneous, which causes a distortion of the wavefront received by the array. In this paper, we consider the direction-of-arrival (DOA) estimation problem for such distorted wavefronts. In previous approaches, the so-called multiplicative noise scenario is considered based on the assumption that the distortion is random and can be parameterized by a small number of parameters. To gain robustness against mismodelling we assume a scenario in which the wavefront amplitude is distorted in a completely arbitrary way. We derive the maximum likelihood (ML) estimator of the DOA and show it can be obtained by means of a simple 1D search. The Cramer-Rao bound (CRB) for the problem at hand is derived. Numerical simulations illustrate a good performance of the estimator and show that its accuracy is comparable with that of estimators which require knowledge of the form of amplitude distortions.
Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic ...
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Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic stability and stability along the pass respectively where the former is a necessary condition for the latter. Recently applications have arisen where asymptotic stability is too weak and stability along the pass is too strong for meaningful progress to be made. This paper develops the concept of strong practical stability for such cases.
Vibration isolation control system design for a microgravity experiment mount is considered. The controller design based on dynamic sliding manifold (DSM) technique is proposed to attenuate the accelerations transmitt...
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Vibration isolation control system design for a microgravity experiment mount is considered. The controller design based on dynamic sliding manifold (DSM) technique is proposed to attenuate the accelerations transmitted to an isolated experiment mount either from a vibrating base or directly generated by the experiment, as well as to stabilize the internal dynamics of this nonminimum phase plant. An auxiliary DSM is employed to maintain the asymptotic high-order sliding mode on the primary sliding manifold in the presence of uncertain actuator dynamics of the second order. The primary DSM is designed for the closed-loop.
A problem of sliding mode control design for a SISO system with unmodeled actuators of the first and second order is considered. A design methodology, based on dynamic sliding manifolds (DSM), is proposed to attenuate...
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A problem of sliding mode control design for a SISO system with unmodeled actuators of the first and second order is considered. A design methodology, based on dynamic sliding manifolds (DSM), is proposed to attenuate the chattering phenomenon affecting sliding-mode-controlled plants in the presence of unmodeled dynamics. The proposed methodology maintains the sliding mode on the sliding surface, which is designed without actuator dynamics being considered. This goal is achieved via auxiliary dynamic sliding manifold design; the sliding mode on the auxiliary DSM provides for high order asymptotic sliding mode on the initial surface.
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on...
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ISBN:
(纸本)0769507506
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on the idea of obtaining a model of the elementary particles that form a texture by optimizing a gray scale structuring element to fit the shape of elementary particles. The optimization method is applied in two stages: the first stage optimizes the extent of the structuring element and the second optimizes the pixel values in the extent.
This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parame...
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This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parameters and their rates of variation are assumed to belong to a given polyhedral region. Based on a parameter-dependent Lyapunov function, which is quadratic in the uncertain parameters, we develop an LMI method for designing a linear stationary, asymptotically stable filter, which ensures a prescribed performance in a H ∞ sense.
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