Results 71 to 80 of about 23,384 (296)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Bifurcation and Chaos in Integer and Fractional Order Two-Degree-of-Freedom Shape Memory Alloy Oscillators

Complexity, 2018
A two-degree-of-freedom shape memory oscillator derived using polynomial constitutive model is investigated. Periodic, quasiperiodic, chaotic, and hyperchaotic oscillations are shown by the shape memory alloy based oscillator for selected values of the ...
Karthikeyan Rajagopal, Anitha Karthikeyan, Prakash Duraisamy, Riessom Weldegiorgis   +3 more
doaj   +1 more source

A linear programming approach to general dataflow process network verification and dimensioning [PDF]

Electronic Proceedings in Theoretical Computer Science, 2010
In this paper, we present linear programming-based sufficient conditions, some of them polynomial-time, to establish the liveness and memory boundedness of general dataflow process networks.
Renaud Sirdey, Pascal Aubry
doaj   +1 more source

Multivariate limits of multilinear polynomial-form processes with long memory [PDF]

, 2013
Consider a vector of multilinear polynomial-form processes with either short or long memory components. The components have possibly different coefficients but same noise elements.
Bai, Shuyang, Taqqu, Murad S.
core   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

Low Complexity Memory Polynomial Digital Predistorter for MIMO Wireless Transmitters

, 2019
This paper proposes a novel digital predistorter (DPD) for 2⨯2 nonlinear multiple-input-multiple-output (MIMO) transmitters. It is intended to compensate for the nonlinear distortion and the memory effects generated by power amplifiers (PAs) in addition ...
Noureddine Aloui, Rönnow, Daniel,, Noureddine Boulejfen, Daniel Ronnow, Imene Zemzemi, Zemzemi, Imene,, Boulejfen, Noureddine,, Aloui, Noureddine,, Mahmoud Alizadeh, Alizadeh, Mahmoud,   +9 more
core   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

A Low-Computational-Complexity Digital Predistortion Model for Wideband Power Amplifier

Sensors
This paper proposes a Composition Piecewise Memory Polynomial (CPMP) digital predistortion model based on a Vector Switched (VS) behavioral model to address the challenges of severe nonlinearity and strong memory effects in wideband power amplifiers (PAs)
Xu Lu, Qiang Zhou, Lei Zhu, Zhihu Wei, Yaqi Wu, Zunyan Liu, Zhang Chen   +6 more
doaj   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Transformer-Based Weighted Attention Coefficient Estimation for Augmented Envelope Memory Polynomial Predistortion

IEEE Access
This paper proposes a novel behavioral modeling framework applied to digital predistortion (DPD) employing Transformer neural networks for dynamic, per-sample coefficient estimation of envelope memory polynomial models. Unlike conventional neural network
Mohammad Hossein Khazani, Mohamed Helaoui, Wenhua Chen, Fadhel M. Ghannouchi   +3 more
doaj   +1 more source