Results 81 to 90 of about 262,580 (281)
DS/CDMA Multiuser Detectors Based on Subspace Methods
Semina: Ciências Exatas e Tecnológicas, 2006 In this work blind and group-blind (Bld-MuD and SBld-MuD, respectively) multiuser detectors (MuD) are analyzed from the point of view of the trade-off between performance versus complexity; specifically, the blind and group-blind detectors are ...
Paul Jean Etienne Jeszensky +2 more
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Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2007 The objective of this paper is threefold: (1) to provide an extensive review of signal subspace speech enhancement, (2) to derive an upper bound for the performance of these techniques, and (3) to present a comprehensive study of the potential of ...
Hugo Van hamme +2 more
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Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection
EURASIP Journal on Advances in Signal Processing, 2002 SIPEX-G is a fast-converging, robust, gradient-based PCA algorithm that has been recently proposed by the authors. Its superior performance in synthetic and real data compared with its benchmark counterparts makes it a viable alternative in applications
Erdogmus Deniz +3 more
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Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach
Abstract and Applied Analysis, 2014 This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
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Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Globally convergent techniques in nonlinear Newton-Krylov [PDF]
Some convergence theory is presented for nonlinear Krylov subspace methods. The basic idea of these methods is to use variants of Newton's iteration in conjunction with a Krylov subspace method for solving the Jacobian linear systems.
Brown, Peter N., Saad, Youcef
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Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Measurement-efficient quantum Krylov subspace diagonalisation [PDF]
QuantumThe Krylov subspace methods, being one category of the most important classical numerical methods for linear algebra problems, can be much more powerful when generalised to quantum computing.
Zongkang Zhang +3 more
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