Results 91 to 100 of about 35,609 (308)

Squeezed‐Vacuum Bosonic Codes

open access: yesAdvanced Physics Research, EarlyView.
ABSTRACT We introduce a family of bosonic quantum error‐correcting codes built as a rotation‐symmetric superposition of squeezed vacuum states, which promise protection against both loss and dephasing noise channels. The robustness of these “squeezed‐vacuum codes” arises from being arranged at evenly spaced angles in phase‐space, and simultaneously in ...
Nir Gutman   +4 more
wiley   +1 more source

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection

open access: yesEURASIP 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
doaj   +1 more source

Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

open access: yesAbstract 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
doaj   +1 more source

Forecasting using Random Subspace Methods [PDF]

open access: yes, 2019
Random subspace methods are a new approach to obtain accurate forecasts in high-dimensional regression settings. Forecasts are constructed by averaging over forecasts from many submodels generated by random selection or random Gaussian weighting of ...
Boot, Tom, Nibbering, Didier
core   +1 more source

A compatibility criterion for optimal control and information aggregation in hierarchical network systems

open access: yesAsian Journal of Control, EarlyView.
Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
wiley   +1 more source

Measurement-efficient quantum Krylov subspace diagonalisation [PDF]

open access: yesQuantum
The 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
doaj   +1 more source

A Comparison of Johansen's, Bierens and the Subspace Algorithm Method for Cointegration Analysis [PDF]

open access: yes
The methods listed in the title are compared by means of a simulation study and a real world application. The aspects compared in the simulations are: The performance of the tests of the different methods for the dimension of the cointegrating space and ...
Martin Wagner
core  

Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework

open access: yes, 2013
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins.
Mohamed Alrmah   +9 more
core   +1 more source

On structural controllability in complex networks with periodic switching topologies

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper investigates the structural controllability of complex networks with periodic switching topologies. First, several graph transformations that preserve structural controllability are demonstrated. Based on the n‐walk theory, a criterion is derived that determines structural controllability by analyzing only the joint graph within a ...
Jingrui Hou   +3 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

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