A hybrid noise canceller with a real-time adaptive Wiener filter and a geometric-based voice-activity detector for an automotive application

2009 ◽  
Vol 24 (6) ◽  
pp. 508-522 ◽  
Author(s):  
T. Z. Qi ◽  
T. J. Moir
Keyword(s):  
Real Time ◽  
Wiener Filter ◽  
Automotive Application ◽  
Voice Activity Detector ◽  
Voice Activity

Effective jointly pdf-based voice activity detector for real-time applications

2007 ◽  
Vol 43 (4) ◽  
pp. 251 ◽  
Author(s):  
J.M. Górriz ◽  
J. Ramírez ◽  
C.G. Puntonet
Keyword(s):  
Real Time ◽  
Voice Activity Detector ◽  
Real Time Applications ◽  
Voice Activity

A Unitary-UCA-Root-MUSIC Algorithm Based on MSWF

2014 ◽  
Vol 610 ◽  
pp. 339-344
Author(s):  
Qiang Guo ◽  
Yun Fei An
Keyword(s):  
Computer Simulation ◽  
Computational Complexity ◽  
Real Time ◽  
Unitary Transformation ◽  
Wiener Filter ◽  
Doa Estimation ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Multi Stage ◽  
Simulation Results

A UCA-Root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper which is based on UCA-RB-MUSIC [1]. The method utilizes not only a unitary transformation matrix different from UCA-RB-MUSIC but also the multi-stage Wiener filter (MSWF) to estimate the signal subspace and the number of sources, so that the new method has lower computational complexity and is more conducive to the real-time implementation. The computer simulation results demonstrate the improvement with the proposed method.

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