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检索条件"主题词=Algorithm Design And Analysis"
82959 条 记 录,以下是341-350 订阅
STATISTICALLY BASED BUFFER CONTROL POLICIES FOR CONSTANT RATE TRANSMISSION OF COMPRESSED DIGITAL VIDEO
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IEEE TRANSACTIONS ON COMMUNICATIONS 1991年 第6期39卷 947-957页
作者: ZDEPSKI, J RAYCHAUDHURI, D JOSEPH, K David Samoff Research Center Inc. Princeton NJ USA
This paper presents an investigation of statistically based approaches to the design of buffer control algorithms for interfacing a compressed digital video source to a constant rate channel. Since video compression t... 详细信息
来源: 评论
CASCADE LATTICE IIR ADAPTIVE FILTERS
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1994年 第4期42卷 721-742页
作者: MIAO, KX FAN, H DOROSLOVACKI, M UNIV CINCINNATI DEPT ELECT ENGN CINCINNATI OH 45221 USA
The feedback lattice filter forms, including the two-multiplier form and the normalized form, are examined with respect to their relationships to the feedback direct form filter. Specifically, the transformation matri... 详细信息
来源: 评论
Dual Phase Consensus algorithm for Distributed Sensor Management
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2016年 第4期52卷 1893-1907页
作者: Neema, Kartavya Subramanian, Shreyas Vathul Delaurentis, Daniel Purdue Univ Sch Aeronaut & Astronaut 701 W Stadium Ave W Lafayette IN 47907 USA
We propose the dual phase consensus algorithm (DCPA) to solve distributed sensor-target allocation for multitarget tracking. DPCA combines the benefits of greedy and consensus algorithms to converge to a feasible solu... 详细信息
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EFFICIENT LEARNING algorithmS FOR NEURAL NETWORKS (ELEANNE)
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1993年 第5期23卷 1372-1383页
作者: KARAYIANNIS, NB VENETSANOPOULOS, AN UNIV TORONTO DEPT ELECT ENGNTORONTO M5S 1A4ONTARIOCANADA
This paper presents the development of several Efficient LEarning algorithms for Neural NEtworks (ELEANNE). The ELEANNE 1 and ELEANNE 2 are two recursive least-squares learning algorithms, proposed for training single... 详细信息
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A morphology-based approach to the evaluation of atrial fibrillation organization - Quantifying similarity of fibrillatory waves within and between endocardial signals
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IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE 2007年 第4期26卷 59-67页
作者: Faes, Luca Ravelli, Flavia Univ Trent Dipartimento Fis I-38050 Trento Italy Inst Sci & Technol Res Div Med Biophys Trento Italy
Not Available.
来源: 评论
A VECTORIZED SCAN-LINE Z-BUFFER RENDERING algorithm
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IEEE COMPUTER GRAPHICS AND APPLICATIONS 1987年 第7期7卷 34-45页
作者: DYER, S WHITMAN, S OHIO STATE UNIV SUPERCOMP PROJECTCOLUMBUSOH 43210 OHIO STATE UNIV DEPT INFORMAT SCICOLUMBUSOH 43210
A scan-line z-buffer algorithm that takes advantage of the architecture of a vector computer for improved performance is presented. The changes that need to be considered when designing and implementing a vectorized s... 详细信息
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PERFORMANCE analysis FOR DOA ESTIMATION algorithmS - UNIFICATION, SIMPLIFICATION, AND OBSERVATIONS
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 1993年 第4期29卷 1170-1184页
作者: LI, F LIU, H VACCARO, RJ UNIV RHODE ISL DEPT ELECT ENGN KINGSTON RI 02881 USA
Subspace based direction-of-arrival (DOA) estimation has attracted many excellent performance studies, but limitations such as the assumption of an infinite amount of data and analysis of individual algorithms general... 详细信息
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Transient and tracking performance analysis of the quantized LMS algorithm for time-varying system identification
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1996年 第8期44卷 1990-1997页
作者: Bermudez, JCM Bershad, NJ UNIV CALIF IRVINE DEPT ELECT & COMP ENGNIRVINECA 92717
This paper investigates the statistical behavior of the finite precision LMS adaptive filter in the identification of an unknown time-varying stochastic system, Nonlinear recursions are derived for the mean and mean-s... 详细信息
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TRAINING RECURRENT NEURAL NETWORKS - WHY AND HOW - AN ILLUSTRATION IN DYNAMICAL PROCESS MODELING
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IEEE TRANSACTIONS ON NEURAL NETWORKS 1994年 第2期5卷 178-184页
作者: NERRAND, O ROUSSELRAGOT, P URBANI, D PERSONNAZ, L DREYFUS, G ECOLE SUPER PHYS & CHIM IND VILLE PARIS ELECTR LABF-75005 PARISFRANCE
The paper first summarizes a general approach to the training of recurrent neural networks by gradient-based algorithms, which leads to the introduction of four families of training algorithms. Because of the variety ... 详细信息
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A Computationally Efficient CFAR algorithm Based on a Goodness-of-Fit Test for Piecewise Homogeneous Environments
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2013年 第3期49卷 1519-1535页
作者: Kim, Jeong Hun Bell, Mark R. Purdue Univ Dept Elect & Comp Engn W Lafayette IN 47907 USA Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA
A new constant false alarm rate (CFAR) detection algorithm operating in nonhomogeneous clutter is proposed. The proposed CFAR algorithm, cell-under-test (CUT) inclusive (CI) CFAR, utilizes a goodness-of-fit test for d... 详细信息
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