Results 81 to 90 of about 2,085,623 (248)

TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks

open access: yesChemosensors
The implementation of low-cost sensitive and selective gas sensors for monitoring fruit ripening and quality strongly depends on their long-term stability.
Adir Krayden   +5 more
doaj   +1 more source

Discrete Hartley matrix transform precoding-based OFDM system to reduce the high PAPR

open access: yesICT Express, 2019
The high peak-to-average power ratio (PAPR) is one of the major drawbacks of the orthogonal frequency division multiplexing (OFDM) systems that make non-linear distortion in practical implementation of high power amplifier (HPA).
Abbas Ali Sharifi
doaj   +1 more source

On the Hadamard product of Hopf monoids

open access: yes, 2012
Combinatorial structures which compose and decompose give rise to Hopf monoids in Joyal's category of species. The Hadamard product of two Hopf monoids is another Hopf monoid. We prove two main results regarding freeness of Hadamard products.
Aguiar   +7 more
core   +2 more sources

On the Method of Harmonic Balance for Lumped‐Element Transformer Models

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
The steady‐state solution of a lumped‐element transformer model with a dry friction‐like hysteresis model depicting the magnetic core is of interest. The harmonic balance method efficiently solves this stiff system. We derive the harmonic balance algorithm, enhance it with performance and convergence improvements, and demonstrate its efficiency by ...
Alexander Sauseng   +5 more
wiley   +1 more source

Universal quantum computation with unlabeled qubits

open access: yes, 2006
We show that an n-th root of the Walsh-Hadamard transform (obtained from the Hadamard gate and a cyclic permutation of the qubits), together with two diagonal matrices, namely a local qubit-flip (for a fixed but arbitrary qubit) and a non-local phase ...
Aharonov D   +8 more
core   +1 more source

Online Cyber‐Physical Neural Network Model for Real‐Time Hybrid Simulation

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Real‐time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analytical and an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure is modeled physically in the laboratory. The two substructures are kinematically linked together at
Faisal Nissar Malik   +3 more
wiley   +1 more source

Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation

open access: yesMathematics
In this paper, we study the Caputo–Hadamard time-space fractional diffusion equation, where the Caputo derivative is defined in the temporal direction and the Hadamard derivative is defined in the spatial direction separately.
Zhengang Zhao, Yunying Zheng
doaj   +1 more source

Complex Hadamard Matrix-Aided Generalized Space Shift Keying Modulation

open access: yesIEEE Access, 2017
In this paper, we present a complex Hadamard matrix-aided generalized space shift keying (HSSK) modulation scheme, which introduces complex-Hadamard-based signal vectors at the transmitter to provide higher spectrum efficiency than generalized space ...
Han Hai   +5 more
doaj   +1 more source

SVD-Based Image Watermarking Using the Fast Walsh-Hadamard Transform, Key Mapping, and Coefficient Ordering for Ownership Protection

open access: yesSymmetry, 2019
Proof of ownership on multimedia data exposes users to significant threats due to a myriad of transmission channel attacks over distributed computing infrastructures.
Tahmina Khanam   +3 more
semanticscholar   +1 more source

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy