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检索条件"主题词=Stochastic algorithms"
185 条 记 录,以下是61-70 订阅
排序:
stochastic Analysis of the Signed LMS algorithms for Cyclostationary White Gaussian Inputs
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2017年 第7期65卷 1673-1684页
作者: Eweda, Eweda Bershad, Neil J. C4 Adv Solut Abu Dhabi 43269 U Arab Emirates Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92660 USA
This paper studies the stochastic behavior of the signed variants of the LMS algorithm for a system identification framework when the input signal is a cyclostationary white Gaussian process. Three algorithms are stud... 详细信息
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A switched variable step size NLMS adaptive filter
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DIGITAL SIGNAL PROCESSING 2020年 101卷 102730-000页
作者: Bershad, Neil J. Bermudez, Jose C. M. Univ Calif Irvine Dept Elect & Comp Engn Irvine CA 92717 USA Univ Fed Santa Catarina Dept Elect & Elect Engn Florianopolis SC Brazil Catholic Univ Pelotas UCPel Pelotas Grad Program Elect Engn & Comp Pelotas RS Brazil
This paper studies the statistical behavior of a switched variable step size Normalized Least Mean Square adaptive filter. The purpose of the switching is to obtain a Normalized Least Mean Square adaptive filter combi... 详细信息
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stochastic analysis of soft limiters in the LMS algorithm for stationary white Gaussian inputs-A unified theory
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SIGNAL PROCESSING 2018年 142卷 27-35页
作者: Bershad, Neil J. Eweda, Eweda Bermudez, Jose C. M. Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92660 USA Adv Solut C4 Abu Dhabi U Arab Emirates Univ Fed Santa Catarina Dept Elect & Elect Engn BR-88040970 Florianopolis SC Brazil
The effects of saturation-type nonlinearities on the input and the error in the weight update equation for LMS adaptation are investigated for a stationary white Gaussian data model for system identification. Nonlinea... 详细信息
来源: 评论
Adaptive modulation for MU-MIMO-OFDM systems in Underlay Cognitive Radio Networks
Adaptive modulation for MU-MIMO-OFDM systems in Underlay Cog...
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USNC-URSI Radio Science Meeting / IEEE International Symposium on Antennas and Propagation (AP-S)
作者: Labdaoui, Rym Ghanem, Khalida Nedil, Mourad Ettoumi, Fatiha Youcef
In this paper, a modified rate quantization algorithm for multi-user multiple-input-multiple-output-orthogonal frequency division multiplexing (MU-MIMO-OFDM) cognitive architectures is proposed. Targeting to fulfill t... 详细信息
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Study of the Number Recognition algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors
Study of the Number Recognition Algorithms Efficiency After ...
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World Conference on Information Systems and Technologies (WorldCIST)
作者: Muenala, Kuntur Ibarra-Fiallo, Julio Intriago-Pazmino, Monserrate Univ San Francisco Quito Colegio Ciencias & Ingn Cumbaya Ecuador Escuela Politec Nacl Dept Informat & Ciencias Comp Quito Ecuador
The present work studies an application of typical testors to reduce the space of characteristics used as inputs in statistical models to recognize a manuscript digit from its corresponding binary image. The fundament... 详细信息
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Brief Announcement: A Local stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems  18
Brief Announcement: A Local Stochastic Algorithm for Separat...
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37th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC)
作者: Cannon, Sarah Daymude, Joshua J. Gokmen, Cem Randall, Dana Richa, Andrea W. Georgia Inst Technol Atlanta GA 30332 USA Arizona State Univ Tempe AZ USA
We investigate stochastic, distributed algorithms that can accomplish separation and integration behaviors in self-organizing particle systems, an abstraction of programmable matter. These particle systems are compose... 详细信息
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stochastic QUANTUM INFORMATION PROCESSING, WITH APPLICATIONS TO BLIND QUANTUM SYSTEM IDENTIFICATION AND SOURCE SEPARATION  28
STOCHASTIC QUANTUM INFORMATION PROCESSING, WITH APPLICATIONS...
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IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
作者: Deville, Y. Deville, A. Univ Toulouse UPS CNRS CNESOMPIRAP F-31400 Toulouse France Aix Marseille Univ IM2NP CNRS UMR 7334 F-13397 Marseille France
Many methods for processing classical or quantum data are based on estimating some parameters, e.g. those of adaptive filters, artificial neural networks (including deep learning approaches), blind source separation s... 详细信息
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Approximate inference in Bayesian networks: Parameterized complexity results
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2018年 93卷 119-131页
作者: Kwisthout, Johan Radboud Univ Nijmegen Donders Inst Brain Cognit & Behav Montessorilaan 3 NL-6525 HR Nijmegen Netherlands
Computing posterior and marginal probabilities constitutes the backbone of almost all inferences in Bayesian networks. These computations are known to be intractable in general, both to compute exactly and to approxim... 详细信息
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Performance of soft limiters in the LMS algorithm for cyclostationary white Gaussian inputs
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SIGNAL PROCESSING 2018年 152卷 197-205页
作者: Bershad, Neil J. Eweda, Eweda Bermudez, Jose C. M. Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92660 USA C4 Adv Solut Abu Dhabi U Arab Emirates Univ Fed Santa Catarina Dept Elect & Elect Engn BR-88040970 Florianopolis SC Brazil
The analysis of saturation-type nonlinearities on the input and the error in the weight update equation for LMS adaptation were obtained for a stationary white Gaussian data model in [28] for system identification. He... 详细信息
来源: 评论
Discretization of processes at stopping times and Uncertainty quantification of stochastic approximation limits
Discretization of processes at stopping times and Uncertaint...
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作者: Uladzislau Stazhynski Ecole Polytechnique
学位级别:博士
This thesis consists of two parts. The first part is devoted to the problems of Brow- nian semimartingales discretization based on stop- ping times. We start with the study of the optimal discretization for stochastic... 详细信息
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