Real-time ballistocardiographic artifact reduction using thek-teager energy operator detector and multi-channel referenced adaptive noise cancelling

2016 ◽  
Vol 26 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Xiaotong Wen ◽  
Mingxuan Kang ◽  
Li Yao ◽  
Xiaojie Zhao
Keyword(s):  
Real Time ◽  
Energy Operator ◽  
Artifact Reduction ◽  
Teager Energy Operator ◽  
Noise Cancelling ◽  
Adaptive Noise ◽  
Teager Energy

scholarly journals Non-Contact Geomagnetic Detection Using Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Teager Energy Operator

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 309 ◽  
Author(s):  
Tao Zhang ◽  
Xinhua Wang ◽  
Yingchun Chen ◽  
Zia Ullah ◽  
Haiyang Ju ◽  
...  
Keyword(s):  
Empirical Mode Decomposition ◽  
Energy Operator ◽  
Side Lobe ◽  
Ensemble Empirical Mode Decomposition ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Teager Energy Operator ◽  
Mode Decomposition ◽  
Adaptive Noise ◽  
Teager Energy

During the non-contact geomagnetic detection of pipeline defects, measured signals generally contain noise, which reduces detection efficiency. Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) has recently emerged as a signal filtering method, but its filtering performance is influenced by two parameters: the amplitude of added noise and the number of ensemble trials. To solve this issue and improve detection accuracy and distinguishability, a detection method based on improved CEEMDAN (ICEEDMAN) and the Teager energy operator (TEO) is proposed. The magnetic detection signal was first decomposed into a series of intrinsic mode functions (IMFs) by CEEMDAN with initial parameters. Signal IMFs were then distinguished using the Hurst exponent to reconstruct the preliminary filtered signal, and its maximum value (except the zero point) of the normalized autocorrelation function was defined as salp swarm algorithm (SSA) fitness. The optimal parameters that maximize fitness were found by SSA iterations, and their corresponding filtered signal was obtained. Finally, the gradient calculation and TEO were carried out to complete non-contact geomagnetic detection. The results of the simulated signal based on magnetic dipole under a noisy environment and field testing prove that ICEEMDAN denoising has better filtering performance than conventional CEEMDAN denoising methods, and ICEEMDAN-TEO has obvious advantages compared to other detection methods in the aspects of location error, peak side-lobe ratio, and integrated side-lobe ratio.

scholarly journals Operador de energía de teager para la detección de hipernasalidad en niños con labio y paladar hendido

TecnoLógicas ◽  
2011 ◽  
pp. 27 ◽  
Author(s):  
Juan R. Orozco-Arroyave ◽  
Jonny A. Uribe ◽  
Jesús F. Vargas-Bonilla
Keyword(s):  
Energy Operator ◽  
Teager Energy Operator ◽  
Teager Energy

El labio y/o paladar hendido (LPH) es una malformación, que tiene orígenes de tipo genético y ambiental. En Colombia, 6 de cada 10000 niños nacen con esta malformación, mientras en el resto del mundo la proporción se encuentra en 1 de cada 10000. El LPH trae consigo patologías en el habla tales como: hipernasalidad, hiponasalidad, golpe glótico, entre otras. De todas estas patologías, la hipernasalidad es la más recurrente en pacientes con LPH, apareciendo aproximadamente en el 90% de los casos. En este trabajo se hace un análisis, basado en resultados experimentales, del desempeño del Operador de Energía de Teager (TEO, por las siglas en inglés de Teager Energy Operator), para la detección de hipernasalidad en pacientes con LPH. Se analiza una versión generalizada del TEO con el fin de validar su capacidad discriminante en la detección de hipernasalidad, aplicándolo sobre una base de datos con registros de voz reales, de niños con LPH y niños control. Los resultados obtenidos comprueban que el TEO posee gran capacidad discriminante, y puede aportar información relevante en el proceso de detección de hipernasalidad.

Sign in / Sign up

Export Citation Format

Share Document