更多例句筛选 1. Application of Time- Domain Features in Non- Destructive Evaluation for 20# Aging Microstructure 时域特征用于20#钢球化组织状态无损评价 www.ilib.cn 2. Partial discharge recognition based on time domain features of pulse waveform 基于脉冲波形时域特征的局部放电识别 www.ilib.cn隐私...
The first one depends on time-domain features. The second is based on an advanced representation of the frequency domain, which depends on spectral coherence (SCoh) data over the spectral frequency domain using a center frequency and frequency range determined by a 1/3 binary tree structure. ...
The features used for voice activity detection are energy and zero crossing rate, together with AMDF (Average Magnitude Difference Function), which proves to be a valid alternative to energy; further, we study the impact on performance of grammar structures and training conditions. In the end, ...
Hence, this study proposed three new time-domain features to improve the performance of EMG-PR based strategy in arm movement classification. EMG signals were recorded from the residual arms of eight amputees while performing different upper limb movements. Then, the newly proposed features were ...
R. Al-Balushi, Artificial neural network based fault diagnostics of rolling element bearings using time-domain features, Mechanical Systems and Signal ... R Zaeri,B Attaran,A Ghanbarzadeh,... - IEEE 被引量: 20发表: 2011年 Comparison between Artificial Neural Network and Support Vector Method...
Multisensor information fusion, when applied to fault diagnosis, the time-space scope, and the quantity of information are expanded compared to what could be acquired by a single sensor, so the diagnostic object can be described more comprehensively. Thi
Based on the time domain features of Chinese words, which are short time peak-valley energy and zero crossing, we propose a novel method for continuous speech endpoint detection. It is simple and easy to use, with high detection rate and low computational complexity. The effectiveness of the ...
内容提示: Combining frequency and time-domain EEG features for classif i cationof self-paced reach-and-grasp actionsAndreas Schwarz 1 , Joana Pereira 1 , Lydia Lindner 1 and Gernot R. Müller-Putz 1 , Member IEEEAbstract—Brain-computer interfaces (BCIs) might providean intuitive way for ...
In this paper, we present some preliminary results of recognizing human physical activities using a traditionally time domain features with periodic calculation from the activity signals measured by using a multi-sensor model and artificial neural nets. The features mean, standard deviation, energy and...
time-domain, frequency-domain, and time-frequency-domain features of multivariate time series based on the proposed appending-inspired feature capturer to ... L Xi,W Wang,J Chen,... - 《Journal of Intelligent Manufacturing》 被引量: 0发表: 2024年 ...