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In this paper we introduce a control policy which we refer to as the iterated approximate value function policy. The generation of this policy requires two stages, the first one carried out off-line, and the second stage carried out on-line. In the first stage we simultaneously compute a trajectory of moments of the state and action and a sequence of approximate value functions optimized to that trajectory...
Artificial signals possess some certain chronological property-the cyclostationarity, with which the traditional DOA estimation can rarely reach the desired precision, or completely turns to be of no avail. Designated for removing the defect, this paper applies the Cyclic-Music algorithm to the MIMO radar's DOA estimation and verifies its effectiveness. Simulations show that the precision of MIMO...
In this paper we describe an approximate dynamic programming policy for a discrete-time dynamical system perturbed by noise. The approximate value function is the pointwise supremum of a family of lower bounds on the value function of the stochastic control problem; evaluating the control policy involves the solution of a min-max or saddle-point problem. For a quadratically constrained linear quadratic...
In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
A scheme for enhancing local contrast of ultrasound images based on multiscale morphology is presented in this paper. The conventional theoretical concept of local contrast enhancement using mathematical morphology has been applied in the field of ultrasound image processing. The main idea is to preserve speckle region unchanged and enhance tissue boundaries. The criterion of speckle region is defined...
The finite element method (FEM) is presented in this paper to research the noise of axial flux surface mounted permanent magnet synchronous machine (AFSMPMSM), and the noise of AFSMPMSM is analyzed and calculated by using analyzing software of FEM. The two results of FEM calculation and sample machine's experiment are contrasted, and it is proved correctly of using this FEM to calculate the noise...
Image segmentation is the basic problem of image processing and computer vision, and it's also the key step from image processing to image analysis. The existing image segmentation methods were firstly reviewed and then the concept of multi-scale local features was introduced. A region-driven image segmentation of multi-scale local energy was proposed later. Finally, these algorithms were evaluated...
The fuzzy c-means clustering algorithm has been successfully applied to a wide variety of problems. However, the image may be corrupted by noise, which leads to inaccuracy with segmentation. In the paper, a local fuzzy clustering regularization model is introduced in the objective function of the standard fuzzy c-means (FCM) algorithm. It can allow the membership of a pixel to be influenced by the...
In this paper, we describe a method for removing noise from digital images, based on bilateral filter and Gaussian scale mixtures (GSM) in shiftable complex directional pyramid (PDTDFB) domain. Firstly, the noisy image is decomposed into different subbands of frequency and orientation responses using a PDTDFB transform. Secondly, the bilateral filter, which is a nonlinear filter that does spatial...
The design problem of state feedback robust variance controller which guarantee the closed-loop steady-state variance to be less than a given upper bound and some H∞ performance is concerned for a class of Markov jump systems which mode is not available completely. Based on LMI method, system variance has been analyzed and the existence conditions for such controllers are proposed and proved. A parameterized...
In pulse Doppler (PD) radar, a novel motion compensation method based on keystone transform is proposed for handling with the data of a low signal-to-noise ratio (SNR). The keystone transform is used to correct the linear range migration which results from the radial velocity of targets. The SNR is improved through coherently accumulating all pulses. The simulation results show that the performance...
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