作者:
CHANG, DCZHENG, JXMIMICAD Center
Department of Electrical and Computer Engineering University of Colorado Boulder Boulder CO USA
A spatial-domain mixed-potential integral equation method is developed for the analysis of microstrip discontinuities and antennas of arbitrary shape. The algorithm is based on roof-top basis functions on a rectangula...
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A spatial-domain mixed-potential integral equation method is developed for the analysis of microstrip discontinuities and antennas of arbitrary shape. The algorithm is based on roof-top basis functions on a rectangular and triangular mixed grid and analytical evaluation of the quadruple moment integrals involved. The algorithm is successfully implemented into an accurate, efficient and versatile computer program. The numerical results agree with the measured ones very well.
The problem of reconstructing a continuous-tone image given its ordered dithered halftone or its error-diffused halftone image is considered, We develop a modular class of nonlinear filters that can reconstruct the co...
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The problem of reconstructing a continuous-tone image given its ordered dithered halftone or its error-diffused halftone image is considered, We develop a modular class of nonlinear filters that can reconstruct the continuous-tone information preserving image details and edges that provide important visual cues, The proposed nonlinear reconstruction algorithms, denoted as binary permutation filters, are based on the space and rank orderings of the halftone samples provided by the multiset permutation of the ''on'' pixels in a halftone observation window, For a given window size, we obtain a wide range of filters by varying the amount of space-rank ordering information utilized in the estimate, For image reconstructions from ordered dithered halftones, we develop periodically space-varying filters that can account for the periodical nature of the underlying screening process, A class of suboptimal but simpler space-invariant reconstruction filters are also proposed and tested, Constrained LMS type algorithms are employed for the design of reconstruction filters that minimize the reconstruction mean squared error, We present simulations showing that binary permutation filters are modular, robust to image source characteristics, and that they produce high visual quality image reconstruction.
The spiral optimization (SPO) algorithm proposed by Tamura and Yasuda is a relatively novel and simple search concept inspired by natural spiral phenomena. This algorithm searches continuous space using no gradient an...
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The spiral optimization (SPO) algorithm proposed by Tamura and Yasuda is a relatively novel and simple search concept inspired by natural spiral phenomena. This algorithm searches continuous space using no gradient and only spiral trajectories composed of spiral vectors generated by deterministic spiral models. The primary purpose of this paper is to propose conditions and settings that mathematically ensure the convergence of the SPO algorithm to a stationary point. The conditions relating to the sizes and directions of the spiral vectors and the initial search points are based on direct search theory and recent SPO algorithm theories. The presented convergence was numerically verified using test functions with different properties.
This paper presents a dual AC-3 and MPEG-2 audio decoder which can decode both bit-streams. MPEG-2 synthesis filtering is modified by the 32-point FFT to share the common data path with the AC-3's. The architectur...
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This paper presents a dual AC-3 and MPEG-2 audio decoder which can decode both bit-streams. MPEG-2 synthesis filtering is modified by the 32-point FFT to share the common data path with the AC-3's. The architecture of the decoder consists of a programmable DSP cole and a hardwired common synthesis filter. The DSP core was designed suitable for audio processing. The common filter design adopts the suggested II MPEG-2 modified synthesis filtering. The proposed system was synthesized with 0.6 mu m technology and proven to be cost-effective.
Optimization is a process of decision-making in which some iterative procedures are conducted to maximize or minimize a predefined objective function representing the overall behavior of a considered system problem. M...
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Optimization is a process of decision-making in which some iterative procedures are conducted to maximize or minimize a predefined objective function representing the overall behavior of a considered system problem. Most of the time, one specific function cannot represent the overall behavior of a system with particular levels of complexity, so the multiple objective functions should be determined for this purpose which requires an algorithm with adaptability to this situation. Multi-objective optimization is a process of decision making in which maximization or minimization of multiple objective functions is considered for reaching the acceptable levels of performance for the considered system problem. In this paper, the multi-objective version of the Material Generation algorithm (MGA) is proposed as MOMGA, one of the recently developed metaheuristic algorithms for single-objective optimization. To evaluate the overall performance of the MOMGA, the benchmark multi-objective optimization problems of the Competitions on Evolutionary Computation (CEC) are considered alongside the real-world engineering problems. Based on the results, the MOMGA is capable of providing very acceptable results in dealing with multi-objective optimization problems.
The introduction of wireless ATM in customer premises network environments necessitates the design of mobility signaling protocols, sir versions of B-ISDN since the existing deployed either as signaling do not support...
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The introduction of wireless ATM in customer premises network environments necessitates the design of mobility signaling protocols, sir versions of B-ISDN since the existing deployed either as signaling do not support terminal mobility. Such protocols can extensions to the standard signaling capabilities, or as individual solutions that have little or no impact on existing infrastructures (switches, signaling software, etc.). AWATM architecture that adopts the latter approach is presented. After a discussion of the problems encountered in the integration of wireless networking and B-ISDN ATM technologies, a Mobility Management and Control (MMC) protocol is proposed Finally, in the framework of the proposed MMC protocol, algorithms for implementing mobility procedures (handover and registration) are described.
This paper investigates algorithms for constructing velocity approximations from discrete position versus time data. The study is limited to algorithms suitable to provide velocity information in discrete-time feedbac...
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This paper investigates algorithms for constructing velocity approximations from discrete position versus time data. The study is limited to algorithms suitable to provide velocity information in discrete-time feedback control systems such as microprocessor-based systems with a discrete position encoder. Velocity estimators based on lines per period, reciprocal-time, Taylor series expansions, backward difference expansions, and least-square curve fits are presented. Based on computer simulations, comparisons of relative accuracies of the different algorithms are made. The least-squares velocity estimators filtered the effect of imperfect measurements ("noise") best, whereas the Taylor series expansions and backward difference equation estimators respond better to velocity transients.
In this paper we study the performance of gradient descent (GD) when applied to the problem of on-line linear prediction in arbitrary inner product spaces, We prove worst-case bounds on the sum of the squared predicti...
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In this paper we study the performance of gradient descent (GD) when applied to the problem of on-line linear prediction in arbitrary inner product spaces, We prove worst-case bounds on the sum of the squared prediction errors under various assumptions concerning the amount of a priori information about the sequence to predict, The algorithms we use are variants and extensions of on-line GD, Whereas our algorithms always predict using linear functions as hypotheses, none of our results requires the data to be linearly related. In fact, the bounds proved on the total prediction loss are typically expressed as a function of the total loss of the best fixed linear predictor with bounded norm, All the upper bounds are tight to within constants, Matching lower bounds are provided in some cases. Finally, we apply our results to the problem of on-line prediction for classes of smooth functions.
The synergy between digital radio communications and VLSI signal processing is revolutionizing the design of wireless terminals. Driving this synergy are certain fundamental paradigms in modern communication theory, d...
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The synergy between digital radio communications and VLSI signal processing is revolutionizing the design of wireless terminals. Driving this synergy are certain fundamental paradigms in modern communication theory, digital signal processing, and VLSI design. The authors discuss the modern centers-of-gravity model, which they believe is emerging as the basis for the successful design and implementation of advanced digital communication systems. Central to this model are design principles that enable engineers to systematically derive digital receiver structures and explore algorithm and architecture trade-offs using sophisticated tools. Digital signal processing technology is critical in the implementation of these digital receiver structures efficiently. Finally, CAD tools for digital communications system design and design space exploration are shown to be of crucial importance in the efficient execution of these designs.< >
We propose a new algorithm for a triple-layer over-the-cell (OTC) routing in an irregular cell area, While other OTC routers assume that the cell structure is restricted to a certain type such as uniform height, our O...
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We propose a new algorithm for a triple-layer over-the-cell (OTC) routing in an irregular cell area, While other OTC routers assume that the cell structure is restricted to a certain type such as uniform height, our OTC router accepts both standard cells and custom cells. Our OTC channel routing consists of five steps: i) double-layer routing, ii) track-to-metal3 transformation, iii) segment-to-metal3 transformation, iv) segment-to-metal1 transformation, and v) triple-layer routing, We prove that the transformation steps can be executed in linear time. The effectiveness of our algorithm is demonstrated through physical circuit layouts with fully customized cells, Our algorithm is applied to route MCNC benchmark circuits and Deutsch's difficult problem resulting in a significant reduction in channel area.
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