Measuring the sound power of a moving source

1995 ◽  
Vol 97 (1) ◽  
pp. 116-120 ◽  
Author(s):  
Wei Wei ◽  
Robert Hickling
Keyword(s):  
Sound Power ◽  
Moving Source

LOW COMPLEXITY DOA LIKE HUMAN

2020 ◽  
Author(s):  
Mike Hugo
Keyword(s):  
Time Delays ◽  
Low Complexity ◽  
Moving Source

The proposed \gls{cimpl} strategy is customized toward binaural portable amplifier frameworks with receiver exhibits in every unit. The technique uses the roundabout insights (roundabout mean and round difference) of \gls{impd} across various amplifier sets. These \gls{impd}s are right off the bat mapped to time delays through a difference weighted direct fit, at that point mapped to azimuth \gls{doa} and finally data of various mouthpiece sets is consolidated. The fluctuation is helped through the various changes and goes about as an unwavering quality list of the evaluated point. Both the subsequent edge and fluctuation are taken care of into a wrapped Kalman channel, which gives a smoothed gauge of the \gls{doa}. The proposed strategy improves the exactness of the followed point of a solitary moving source contrasted and the benchmark technique gave by the LOCATA challenge, and it runs around multiple times quicker.

Active control of compressor noise in the machinery room of refrigerators

2019 ◽  
Vol 67 (5) ◽  
pp. 350-362
Author(s):  
J. M. Ku ◽  
W. B. Jeong ◽  
C. Hong
Keyword(s):  
Control System ◽  
Active Control ◽  
Weighting Function ◽  
Reference Signal ◽  
Active Noise Control ◽  
Dominant Frequency ◽  
Time Signal ◽  
Frequency Noise ◽  
Sound Power ◽  
Fxlms Algorithm

The low-frequency noise generated by the vibration of the compressor in the machinery room of refrigerators is considered as annoying sound. Active noise control is used to reduce this noise without any change in the design of the compressor in the machinery room. In configuring the control system, various signals are measured and analyzed to select the reference signal that best represents the compressor noise. As the space inside the machinery room is small, the size of a speaker is limited, and the magnitude of the controller transfer function is designed to be small at low frequencies, the controller uses FIR filter structure converged by the FxLMS algorithm using the pre-measured time signal. To manage the convergence speed for each frequency, the frequency-weighting function is applied to FxLMS algorithm. A series of measurements are performed to design the controller and to evaluate the control performance. After the control, the sound power transmitted by the refrigerator is reduced by 9 dB at the first dominant frequency (408 Hz in this case) and 3 dB at the second dominant frequency (459 Hz here), and the overall sound power decreases by 2.6 dB. Through this study, an active control system for the noise generated by refrigerator compressors is established.

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