Results 61 to 70 of about 1,828 (248)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Multichannel speaker interference reduction using frequency domain adaptive filtering

EURASIP Journal on Audio, Speech, and Music Processing, 2020
Microphone leakage or crosstalk is a common problem in multichannel close-talk audio recordings (e.g., meetings or live music performances), which occurs when a target signal does not only couple into its dedicated microphone, but also in all other ...
Patrick Meyer, Samy Elshamy, Tim Fingscheidt   +2 more
doaj   +1 more source

On the optimality of subband adaptive filters

, 1999
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an ...
Weiss, Stephan, S. Weiss, Weiss, S., R.W. Stewart, Stewart, R.W., Stewart, Robert   +5 more
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Rapid Prototyping of Sub-band Acoustic Echo Cancellers on FPGA Platforms

Advances in Electrical and Computer Engineering, 2013
The paper focuses on a rapid prototyping technique of an acoustic echo canceller implemented on an FPGA platform. The goal is to reduce design, optimization and implementation cost and execution time.
TOPA, M. D., CONTAN, C., KIREI, B. S., MURESAN, I.   +3 more
doaj   +1 more source

An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation

Entropy, 2017
In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation.
Zhan Jin, Yingsong Li, Yanyan Wang
doaj   +1 more source

Surface Charges Guided Quasi‐TEM‐mode Microwave Propagation along Dielectric Nanowire

Advanced Physics Research, EarlyView.
According to Maxwell's equations, a single‐conductor transmission line cannot allow TEM‐mode electromagnetic wave propagation, however, this is based upon the assumption that dielectric material is isolated from the environment. In practice, surface electrostatic charges widely existed in nano‐materials with large surface‐to‐volume ratio.
BoYan Xu, Kaibo Zhang, Haojie Gao, Zhiyuan Gao, Kai Wang, Lihuan Zhao, Qi Yang, Bifeng Cui   +7 more
wiley   +1 more source

Acoustic echo cancellation based on two‐stage BLSTM

Electronics Letters
Acoustic echo cancellation (AEC) methods aim to suppress the acoustic coupling for hands‐free speech communication. Traditional AEC works by identifying the acoustic impulse response using adaptive algorithms. With recent research advances, deep learning
Zhiwei Niu, Shifeng Ou, Peng Song, Ying Gao   +3 more
doaj   +1 more source

An Improved Practical State-Space FDAF With Fast Recovery of Abrupt Echo-Path Changes

IEEE Access, 2019
A variable step-size echo cancellation algorithm in the frequency domain based on soft-decision and status information of the filter is established for enhancing tracking capability.
Tao Jiang, Ruiyu Liang, Qingyun Wang, Cairong Zou, Cong Li   +4 more
doaj   +1 more source

Efficient Algorithms for Linear System Identification with Particular Symmetric Filters

Applied Sciences, 2022
In linear system identification problems, it is important to reveal and exploit any specific intrinsic characteristic of the impulse responses, in order to improve the overall performance, especially in terms of the accuracy and complexity of the ...
Ionuţ-Dorinel Fîciu, Jacob Benesty, Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochină   +4 more
doaj   +1 more source