On the use of a decimative spectral estimation method based on eigenanalysis and SVD for formant and bandwidth tracking of speech signals

2005 ◽  
Author(s):  
Sotiris Karabetsos ◽  
Pirros Tsiakoulis ◽  
Stavroula-Evita Fotinea ◽  
Ioannis Dologlou
Keyword(s):  
Spectral Estimation ◽  
Estimation Method ◽  
Speech Signals

scholarly journals A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

2019 ◽  
Vol 11 (10) ◽  
pp. 1237 ◽  
Author(s):  
Hyunjae Lee ◽  
Byung-Hyun Kim ◽  
Jin-Kwan Park ◽  
Jong-Gwan Yook
Keyword(s):  
Vital Sign ◽  
Continuous Wave ◽  
Doppler Radar ◽  
Spectral Estimation ◽  
Estimation Method ◽  
Vital Signs ◽  
Phase Information ◽  
Multiple Targets ◽  
Wave Radar ◽  
24 Ghz

A novel non-contact vital-sign sensing algorithm for use in cases of multiple subjects is proposed. The approach uses a 24 GHz frequency-modulated continuous-wave Doppler radar with the parametric spectral estimation method. Doppler processing and spectral estimation are concurrently implemented to detect vital signs from more than one subject, revealing excellent results. The parametric spectral estimation method is utilized to clearly identify multiple targets, making it possible to distinguish multiple targets located less than 40 cm apart, which is beyond the limit of the theoretical range resolution. Fourier transformation is used to extract phase information, and the result is combined with the spectral estimation result. To eliminate mutual interference, the range integration is performed when combining the range and phase information. By considering breathing and heartbeat periodicity, the proposed algorithm can accurately extract vital signs in real time by applying an auto-regressive algorithm. The capability of a contactless and unobtrusive vital sign measurement with a millimeter wave radar system has innumerable applications, such as remote patient monitoring, emergency surveillance, and personal health care.

Statistical model based SNR estimation method for speech signals

2012 ◽  
Vol 48 (12) ◽  
pp. 727 ◽  
Author(s):  
T. Moazzeni ◽  
A. Amei ◽  
J. Ma ◽  
Y. Jiang
Keyword(s):  
Statistical Model ◽  
Estimation Method ◽  
Speech Signals ◽  
Snr Estimation ◽  
Model Based
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