Real-time SoC architecture and implementation for Variable Speech PDF based noise cancellation system

2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering ◽

10.1109/icitacee.2014.7065707 ◽

2014 ◽

Cited By ~ 1

Author(s):

Aditya Ferry Ardyanto ◽

Idham Hafizh ◽

Septian Gilang Permana Putra ◽

Trio Adiono

Keyword(s):

Real Time ◽

Noise Cancellation

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An automotive application of real-time adaptive Wiener filter for non-stationary noise cancellation in a car environment

2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012) ◽

10.1109/icspcc.2012.6335628 ◽

2012 ◽

Cited By ~ 6

Author(s):

Yen-Hsiang Chen ◽

Shanq-Jang Ruan ◽

Tom Qi

Keyword(s):

Real Time ◽

Wiener Filter ◽

Noise Cancellation ◽

Automotive Application ◽

Stationary Noise

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Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

Applied Sciences ◽

10.3390/app8071178 ◽

2018 ◽

Vol 8 (7) ◽

pp. 1178 ◽

Cited By ~ 3

Author(s):

Sen Kuo ◽

Yi-Rou Chen ◽

Cheng-Yuan Chang ◽

Chien-Wen Lai

Keyword(s):

Noise Reduction ◽

Real Time ◽

Random Noise ◽

Active Noise Control ◽

Noise Cancellation ◽

Experimental Results ◽

Path Model ◽

Light Weight ◽

Active Noise ◽

Natural Sound

This paper presents the development of active noise control (ANC) for light-weight earphones, and proposes using music or natural sound to estimate the critical secondary path model instead of extra random noise. Three types of light-weight ANC earphones including in-ear, earbud, and clip phones are developed. Real-time experiments are conducted to evaluate their performance using the built-in microphone inside KEMAR’s ear and to compare with commercially-available ANC headphones and earphones. Experimental results show that the developed light-weight ANC earphones achieve higher noise reduction than the commercial ANC headphones and earphones, and the in-ear ANC earphone has the best noise reduction performance.

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Real time implementation of adaptive noise cancellation

2008 IEEE International Conference on Electro/Information Technology ◽

10.1109/eit.2008.4554341 ◽

2008 ◽

Cited By ~ 11

Author(s):

Gaurav Saxena ◽

Subramaniam Ganesan ◽

Manohar Das

Keyword(s):

Real Time ◽

Noise Cancellation ◽

Adaptive Noise Cancellation ◽

Adaptive Noise

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Real Time EMG Noise Cancellation from ECG Signals using Adaptive Filtering

Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems - ICCWCS'17 ◽

10.1145/3167486.3167543 ◽

2017 ◽

Cited By ~ 1

Author(s):

M. El hanine ◽

E. Abdelmounim ◽

R. Haddadi ◽

A. Belaguid

Keyword(s):

Real Time ◽

Adaptive Filtering ◽

Noise Cancellation ◽

Ecg Signals

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Real-time Image Noise Cancellation Based on Fuzzy Similarity

Fuzzy Filters for Image Processing - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-36420-7_3 ◽

2003 ◽

pp. 54-71 ◽

Cited By ~ 15

Author(s):

Ivan Kalaykov ◽

Gustav Tolt

Keyword(s):

Real Time ◽

Noise Cancellation ◽

Image Noise ◽

Fuzzy Similarity ◽

Real Time Image ◽

Time Image

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Active Noise Control Based on TMS320C5509

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.631-632.1172 ◽

2013 ◽

Vol 631-632 ◽

pp. 1172-1176

Author(s):

Yong Wei Ma ◽

Xin Ke Gou ◽

Xian Jun Du ◽

Chong Yu Ren

Keyword(s):

Control System ◽

Real Time ◽

Noise Control ◽

Active Noise Control ◽

Noise Cancellation ◽

Real Time Control ◽

Time Control ◽

Active Noise ◽

Fxlms Algorithm ◽

Mixed Language

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.

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