201 AUTONOMOUS DIRECTIVITY MICROPHONE SYSTEM BASED ON THE SPATIO-TEMPORAL BLIND SOURCE SEPARATION ALGORITHM(O.S.4 Measurement and Sensor I)
スポンサーリンク
概要
- 論文の詳細を見る
This paper presents an autonomous directivity microphone system based on the newly proposed spatio-temporal blind source separation. The blind source separation principally uses no a priori knowledge about parameters of convolution, filtering and mixing. In the simplest case of the blind source separation problems, observed mixed signals are linear combinations of unknown mutually statistically independent, zero-mean source signals. The spatio-temporal blind signal separation algorithm utilizes the linearity among the four signals: (1) the sound pressure, (2)x, (3)y, and (4)z-directional particle velocities, all of which are governed by the equation of motion. The proposed method, therefore, has an ability to simplify the convolution blind source separation problems into the instantaneous blind source separation over the spatio-temporal gradient space. Several acoustical experiments are performed with the particle velocity microphone (Microflown) successfully instead of sound pressure microphones.
- 一般社団法人日本機械学会の論文
- 2005-05-31
著者
-
Bree Hans-elias
Microflown Technologies Bv
-
Teramoto Kenbu
Department Of Mechanical Engineering Saga University
-
TSURUTA Kohsuke
Department of Mechanical Engineering, SAGA University
-
Tsuruta Kohsuke
Department Of Mechanical Engineering Saga University
関連論文
- 201 AUTONOMOUS DIRECTIVITY MICROPHONE SYSTEM BASED ON THE SPATIO-TEMPORAL BLIND SOURCE SEPARATION ALGORITHM(O.S.4 Measurement and Sensor I)
- Evaluation of Fuzzy-Neuro Modifiers for Compensation of the Effects of Muscle Fatigue on EMG-Based Control to be Used in Upper-Limb Power-Assist Exoskeletons