Pushing the limits of raw waveform speaker recognition
Interspeech 2022, 2022 submitted to INTERSPEECH 2022 as a conference paper.
Jee-weon Jung +5 more
openaire +3 more sources
Non-intrusive electrical appliance load identification method based on CNN and K-means clustering
Journal of Hebei University of Science and Technology, 2022 Aiming at the problem that the current non-invasive load monitoring can only identify a single household appliance,and the recognition rate of multiple household appliances running at the same time is low,a non-invasive household appliance identification
Zheng LI +5 more
doaj +1 more source
Radar waveform design and processing using joint amplitude‐frequency‐phase modulation
IET Radar, Sonar & Navigation, 2023 Radar waveform design is facing severe challenges with the development of radar countermeasure technology, such as easy access to intra‐pulse modulation property and poor anti‐recognition capabilities.
Tiehua Zhao +4 more
doaj +1 more source
Fetal electrocardiogram: ST waveform analysis in intrapartum surveillance [PDF]
, 2007 ST waveform analysis of fetal electrocardiogram (ECG) for intrapartum surveillance (STAN) is a newly introduced method for fetal surveillance. The purpose of this commentary is to assist in the proper use of fetal ECG in combination with cardiotocography
I Amer‐Wahlin +18 more
core +1 more source
Convolutional Neural Networks for Automatic Cognitive Radio Waveform Recognition
IEEE Access, 2017 Cognitive radio technology is an important branch in the field of wireless communication, and automatic identification is a major part of cognitive radio technology. Convolutional neural network (CNN) is an advanced neural network, which is the forefront
Ming Zhang, Ming Diao, Limin Guo
doaj +1 more source
Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
doaj +1 more source
Benefits of Waveform Relaxation Method and Output Space Mapping for the Optimization of Multirate Systems [PDF]
, 2014 We present an optimization problem that requires to model a multirate system, composed of subsystems with different time constants. We use waveform relaxation method in order to simulate such a system.
CLENET, Stephane +3 more
core +1 more source
Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis [PDF]
Healthcare Informatics Research, 2019 ObjectivesThis study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based ...
Sangwoo Nam +4 more
doaj +1 more source
Extended Target Recognition in Cognitive Radar Networks
Sensors, 2010 We address the problem of adaptive waveform design for extended target recognition in cognitive radar networks. A closed-loop active target recognition radar system is extended to the case of a centralized cognitive radar network, in which a generalized ...
Xiqin Wang +3 more
doaj +1 more source
Development of an RF IV waveform based stress test procedure for use on GaN HFETs [PDF]
, 2012 This paper reports on the development of an RF IV waveform based stress test procedure. DC and low-voltage RF characterisation was carried out before and after high power RF stress.
Tasker, Paul J. +3 more
core +1 more source