Real time evaluation of soft microphones on a local active noise control system

2008 ◽  
Vol 123 (5) ◽  
pp. 3818-3818
Author(s):  
Stelios M. Potirakis ◽  
Maria Rangoussi ◽  
Stylianos Savvaidis ◽  
Nikos Zafeiropoulos
2013 ◽  
Vol 631-632 ◽  
pp. 1172-1176
Author(s):  
Yong Wei Ma ◽  
Xin Ke Gou ◽  
Xian Jun Du ◽  
Chong Yu Ren

The feed-forward adaptive active noise control (AANC) system is presented. Firstly, the hardware project of the system is brought forward, by selecting TMS320C5509 DSP as the controller. Then, using the mixed language, the active noise real-time control system is realized, based on the FXLMS algorithm. It’s proved that a good noise cancellation is achieved by the experiment.


2021 ◽  
Author(s):  
Stefano Nobili ◽  
Valeria Bruschi ◽  
Ferruccio Bettarelli ◽  
Stefania Cecchi

2019 ◽  
Vol 2019.56 (0) ◽  
pp. K015
Author(s):  
Taisei YAMAGUCHI ◽  
Shun HIROSE ◽  
Toshihiko KOMATSUZAKI ◽  
Masahiko HAMAGUCHI ◽  
Naoki KIMURA ◽  
...  

2015 ◽  
Vol 18 (3) ◽  
pp. 61-71
Author(s):  
Ngan Vuong Thuy Nguyen ◽  
Long Duc Tran ◽  
Tho Thi Minh Tran ◽  
Tuan Van Huynh

This paper presents the feed-forward multichannel active noise control which was simulated on LabVIEW and experimented on two channel feed-forward active noise control in real-time. The simulation of feed-forward multichannel active noise control system was built on LabVIEW by using FxLMS algorithm and other algorithms such as Variable Step-size (VSS) and saturation compensation. Moreover, LMS and VSS LMS algorithm were used to train the secondary path in order to improve the convergence speed and stabilization of ANC system in the real-time. The experimental results show that the ANC system in real-time using variable step-size and without using variable step-size algorithm work effectively with noise sources which were synthesized from one to three frequencies. The noise level in these cases decreased around 12 dB - 35 dB and the noise reduction radius measured is about 3 cm around the microphone.


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