Results 91 to 100 of about 1,781,876 (250)

Gradient‐ and Newton‐Based Unit Vector Extremum Seeking Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes new methods for stable and efficient convergence in multivariable extremum seeking control (ESC) using sliding mode techniques. Inspired by classical sliding modes and finite‐time control, the approach integrates these ideas into gradient‐ and Newton‐based ESC schemes with sinusoidal perturbations.
Roberto Luo, Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstic   +3 more
wiley   +1 more source

Study of the Characteristics of Second-Order Underdamped Unsaturated Stochastic Resonance System Driven by OFDM Signals

Applied Sciences
Aiming at the issue of suboptimal demodulation performance in OFDM signal enhancement processes due to slow response speeds in first-order overdamped stochastic resonance systems, this paper designs an OFDM signal enhancement and demodulation system ...
Gaohui Liu, Dekang Wang
doaj   +1 more source

CLEAR Interference Cancellation in a Wideband Dual‐Channel Receiver for Independent Satellite Multi‐Connectivity Links

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley   +1 more source

Identification of Optimal Demodulation Frequency Band and Its Application in Fault Diagnosis of Rolling Element Bearings

机车电传动, 2019
In order to effectively extract fault impulses of rolling element bearings in the presence of low signal to noise ratio and intense non-Gaussian noise, a new method for identifying optimal demodulation frequency band was presented and applied to fault ...
Bingyan CHEN, Weihua ZHANG, Dongli SONG, Yao CHENG   +3 more
doaj  

Scalable Room‐Temperature Terahertz Graphene Cameras

Small Methods, EarlyView.
ABSTRACT Terahertz (THz) imaging has emerged as a powerful tool for non‐destructive, label‐free analysis across several scientific disciplines, ranging from materials science to biomedical research. By capturing the spatial‐dependent information in a broad range of frequencies, this technique enables the identification of chemical composition ...
Lili Shi, Leonardo Viti, Miriam S. Vitiello   +2 more
wiley   +1 more source

Complex demodulation and double demodulation

, 1979
A method to complex demodulate signals with amplitude and phase slowly varying with time is proposed. In a first step, classic demodulation is applied that provides a good approximation of the phase sequence and a fair approximation of the amplitude ...
J. De Prins, Cornelissen, G., G. Cornelissen, De Prins, J.   +3 more
core   +1 more source

A Dual‐Frequency Sensitivity Model for Optical Fibre Ultrasonic Sensors in Power Transformer Partial Discharge Detection

High Voltage, EarlyView.
ABSTRACT The detection of partial discharges (PD) on the power transformer tank demands higher sensitivity in ultrasonic detection. To target the detection frequency band for sensor optimisation and enhance sensitivity, this paper presents a dual‐frequency sensitivity model for optical fibre ultrasonic sensors.
Sihan Wang, Jihang Sun, Jialin Wang, Bin Wei, Guoming Ma   +4 more
wiley   +1 more source

Interference Aspects of Adaptive Modems over Slow Rayleigh Fading Channels

, 1999
Adaptive modulation can achieve channel capacity gains by adapting the number of bits per transmission symbol on a burst-by-burst basis, in harmony with channel quality fluctuations. This is demonstrated in the paper for target bit error rates of 1 and 0.
J.M. Torrance, T. Keller, Torrance, J.M., L. Hanzo, Keller, T., Hanzo, L.   +5 more
core   +2 more sources

A signal demodulation-based method for the early detection of Cheyne-Stokes respiration. [PDF]

PLoS One, 2020
Guyot P, Djermoune EH, Chenuel B, Bastogne T.   +3 more
europepmc   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

British Journal of Psychology, EarlyView.
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn, David White, Clare A. M. Sutherland, Elizabeth J. Miller, Ben A. Steward, Amy Dawel   +5 more
wiley   +1 more source