Results 41 to 50 of about 1,601,711 (239)

Comparative study for broadband direction of arrival estimation techniques [PDF]

, 2012
This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix ...
Alrmah, Mohamed Abubaker, Hussin, Mohammed Nuri, Lambotharan, Sangarapillai, Weiss, Stephan   +3 more
core  

EEF: Exponentially Embedded Families with Class-Specific Features for Classification

, 2016
In this letter, we present a novel exponentially embedded families (EEF) based classification method, in which the probability density function (PDF) on raw data is estimated from the PDF on features.
Baggenstoss, Paul M., He, Haibo, Kay, Steven, Tang, Bo   +3 more
core   +1 more source

Classification of ultrasonic signals [PDF]

International Journal of Materials and Product Technology, 2006
In ultrasonic non-destructive testing it is very difficult to detect flaws in materials with coarse-grain structure. The ultrasonic signals measured on these materials contain echoes which are very similar to fault echoes. These echoes arise from grains which are contained in the material.
Vaclav Matz, Marcel Kreidl, Radislav Smid   +2 more
openaire   +1 more source

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

, 2018
Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists.
Salem, Milad, Shiun-Yuan, Jiann, Taheri, Shayan   +2 more
core   +1 more source

Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression [PDF]

, 2022
Anu Jagannath, Jithin Jagannath
openalex   +1 more source

Power quality disturbance signal segmentation and classification based on modified BI‐LSTM with double attention mechanism

IET Generation, Transmission & Distribution
This paper proposes a recurrent neural network based model to segment and classify multiple combined multiple power quality disturbances (PQDs) from the PQD voltage signal.
Poras Khetarpal, Neelu Nagpal, Pierluigi Siano, Mohammed Al‐Numay   +3 more
doaj   +1 more source

Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals

IET Signal Processing, 2021
In order to make accurate judgements of rolling bearing main fault types using the small sample size fault data set, a novel approach is put forward that combines particle swarm optimisation kernel fuzzy C‐means (PSO‐KFCM) and variational mode ...
Yong Chang, Guangqing Bao, Sikai Cheng, Ting He, Qiaoling Yang   +4 more
doaj   +1 more source

The first comparative analysis of meteor echo and sporadic scattering identified by a self-learned neural network in EKB and MAGW ISTP SB RAS radar data

Solar-Terrestrial Physics, 2022
The paper describes the current version (v.1.1) of the algorithm for automatic classification of signals received by ISTP SB RAS decameter coherent scatter radars.
Berngardt O. I.
doaj   +1 more source

EEG Signal in Emotion Detection Feature Extraction and Classification using Fuzzy Based Feature Search Algorithm and Deep Q Neural Network in Deep Learning Architectures [PDF]

, 2023
Shailaja Kotte, J. R. K. Kumar Dabbakuti
openalex   +1 more source

A symmetric adaptive visibility graph classification method of orthogonal signals for automatic modulation classification

IET Communications, 2023
Visibility graph methods allow time series to mine non‐Euclidean spatial features of sequences by using graph neural network algorithms. Unlike the traditional fixed‐rule‐based univariate time series visibility graph methods, a symmetric adaptive ...
Haihai Bai, Jingjing Yang, Ming Huang, Wenting Li   +3 more
doaj   +1 more source