The interference immunity of a spread spectrum digital communication system corrupted by interference can be significantly enhanced by excising the interference prior to cross correlation of the received signal with t...
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The interference immunity of a spread spectrum digital communication system corrupted by interference can be significantly enhanced by excising the interference prior to cross correlation of the received signal with the possible transmitted reference signals. In this paper we treat methods for excising narrowband (partial band) and broadband (impulsive) interference in direct-sequence and frequency-hopped spread spectrum systems. Excision methods based on linear prediction and nonlinear filtering algorithms are shown to be particularly effective for direct-sequence spread spectrum systems corrupted by narrowband interference. We also consider nonlinear excision methods for frequency-hopped spread spectrum systems corrupted by narrowband interference and direct-sequence spread spectrum systems corrupted by broadband (impulsive) interference.
This paper is focused on the design of partial response equalized channels and maximum-likelihood sequence detection for high density magnetic recording systems. Methods for designing linearly equalized partial respon...
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ISBN:
(纸本)0818675764
This paper is focused on the design of partial response equalized channels and maximum-likelihood sequence detection for high density magnetic recording systems. Methods for designing linearly equalized partial response channels are presented and applied to a Lorentzian model for the magnetic recording channel. Reduced-state maximum-likelihood sequence detection methods are employed for the partial response equalized channels and the error rate performances of the detectors are evaluated.
Statistical geometric features (SGF) have recently been proposed for the classification of image textures. The SGF method is easily extended to use other geometric properties of connected regions. Following a brief re...
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Statistical geometric features (SGF) have recently been proposed for the classification of image textures. The SGF method is easily extended to use other geometric properties of connected regions. Following a brief review of the method, we propose such an extension to the set of SCF features for the purpose of classifying cervical cell textures. The resulting method proves to be as powerful as the gray level co-occurrence matrix (GLCM) method of texture analysis, when tested on a set of 117 cervical cell images. The ability to define features tailored to the geometric properties of the textures concerned makes this method a powerful analysis tool.
A novel 3D motion compensation algorithm for the coding of 3D medical image sequences is presented. The temporal correlation existing between successive in time 3D data sets is exploited using a 3D cube matching algor...
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A novel 3D motion compensation algorithm for the coding of 3D medical image sequences is presented. The temporal correlation existing between successive in time 3D data sets is exploited using a 3D cube matching algorithm (CMA). In order to cope with more complex motions and to adapt compensation to the high-activity regions, a 3D warping based motion estimation technique is introduced. The methods are evaluated experimentally for the coding of an 3D image sequence of a beating heart.
In mobile radio communication, the use of an antenna array can improve the performance of the reception. By using an antenna array it becomes possible to form beams towards the desired signals while "nulling out&...
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In mobile radio communication, the use of an antenna array can improve the performance of the reception. By using an antenna array it becomes possible to form beams towards the desired signals while "nulling out" interfering signals. Identification of a radio channel to an antenna array, using a parametrization in direction of arrival and gains of signal paths, has been investigated. This channel estimate is compared to a least squares FIR channel identification. For the scenarios studied, the parametrized method had better performance than the least squares method. Especially, the parametrized method has an improved performance in the presence of strong co-channel interferers. The parametrized method is however more complex and relies on estimates of the number of signals arriving to the antenna array.
We consider the coding for multi-track magnetic recording systems. We provide analytical results related to uncoded and coded multi-track systems which constitute the basis of the code construction. We have designed m...
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We consider the coding for multi-track magnetic recording systems. We provide analytical results related to uncoded and coded multi-track systems which constitute the basis of the code construction. We have designed matched spectral null codes for multi-track recording systems which give coding gains from 3 dB to 4.8 dB over uncoded systems. We also provide the performance comparisons of such codes under various receiver (head) topologies.
In ATM networks, the purpose of connection admission control is to decide if allowing a new connection into the network violates a quality of service measure of the new connection or the existing connections. Instead ...
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In ATM networks, the purpose of connection admission control is to decide if allowing a new connection into the network violates a quality of service measure of the new connection or the existing connections. Instead of using statistical frame models, we represent the connection entering the network by the connection frame descriptors standardized by the ATM Forum and used by the connection admission control algorithms. We examine traffic sources described by heterogeneous connection frame descriptors in order to analyze constant bit rate sources versus variable bit rate sources, as well as different classes of variable bit rate sources. We use Monte Carlo simulation to estimate the cell loss probability of the combined traffic stream, as well as the individual classes using both random buffer filling and priority buffer filling schemes. Importance sampling is used to increase the efficiency of the simulation. For the experiments example considered, the improvement in simulation efficiency compared to conventional Monte Carlo simulation is inversely proportional to the estimate.
Model-based joint segmentation and recognition of objects is proposed in the framework of parameter estimation of hierarchical mixture densities. The maximum a posteriori (MAP) estimate of the parameters is computed b...
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Model-based joint segmentation and recognition of objects is proposed in the framework of parameter estimation of hierarchical mixture densities. The maximum a posteriori (MAP) estimate of the parameters is computed by the application of a modified version of the expectation-maximization algorithm (EM with regularizing constraints applied to multiple level hierarchies). The approach is flexible in the sense that it allows for non-stationary pixel statistics, different noise models and is translation and scale invariant. Simulation results suggest that the scheme is well suited for recognition of partially occluded objects and recognition in complex and poorly modeled background.
This paper presents a new approach in processing nonstationary signals-such as speech signals and images-through singularity characterization. In this approach, we associate a singular measure /spl mu//sub f(t/) (r) w...
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This paper presents a new approach in processing nonstationary signals-such as speech signals and images-through singularity characterization. In this approach, we associate a singular measure /spl mu//sub f(t/) (r) with a transient at time t of a signal f(t) (where a real number r>0 is a time perturbation around t) and use the singularity behaviour of the measure for the characterization of the signal nonstationarity. The approach is capable of characterizing isolated transients through Holder exponents (or singularity strength), as well as mixture transients (e.g. singularity everywhere) through the concept of fractality and multifractality. The paper discusses the concept and the practicality of applying this approach to signals. The paper also shows that this approach can provide a unifying framework for previously published work on applying nonlinear, chaotic, fractal, and multifractal analysis to signals. We show that the main conceptual issue in applying fractality and multifractality to signals using this framework is the proper selection of signal measures.
Methods are proposed for coding of the depth map and disparity fields for stereo or multiview image communication applications. Block-based and wireframe modeling techniques are examined for the coding of isolated dep...
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Methods are proposed for coding of the depth map and disparity fields for stereo or multiview image communication applications. Block-based and wireframe modeling techniques are examined for the coding of isolated depth map information and 2-D and 3-D motion compensation techniques for the coding of depth map sequences are evaluated.
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