Harmonic Current Detection Based on Neural Network Adaptive Noise Cancellation Technology

2009 ◽  
pp. 829-835
Author(s):  
Ziqiang Xi ◽  
Ruili Tang ◽  
Wencong Huang ◽  
Dandan Huang ◽  
Lizhi Zheng ◽  
...  
Keyword(s):  
Neural Network ◽  
Noise Cancellation ◽  
Adaptive Noise Cancellation ◽  
Harmonic Current ◽  
Adaptive Noise ◽  
Current Detection

Adaptive Noise Cancellation for speech Employing Fuzzy and Neural Network

2011 ◽  
Vol 7 (2) ◽  
pp. 94-101
Author(s):  
Mohammed Hussein Miry ◽  
Ali Hussein Miry ◽  
Hussain Kareem Khleaf
Keyword(s):  
Neural Network ◽  
Noise Cancellation ◽  
Adaptive Noise Cancellation ◽  
Adaptive Noise

scholarly journals Adaptive Noise Cancellation for speech Employing Fuzzy and Neural Network

2011 ◽  
Vol 7 (2) ◽  
pp. 94-101
Author(s):  
Mohammed Miry ◽  
Ali Miry ◽  
Hussain Khleaf
Keyword(s):  
Neural Network ◽  
Adaptive Filtering ◽  
Communication Systems ◽  
Digital Signal ◽  
Noise Cancellation ◽  
Lms Algorithm ◽  
Adaptive Noise Cancellation ◽  
Long Distance ◽  
Wide Range ◽  
Adaptive Noise

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications such as noise cancellation. Noise cancellation is a common occurrence in today telecommunication systems. The LMS algorithm which is one of the most efficient criteria for determining the values of the adaptive noise cancellation coefficients are very important in communication systems, but the LMS adaptive noise cancellation suffers response degrades and slow convergence rate under low Signal-to-Noise ratio (SNR) condition. This paper presents an adaptive noise canceller algorithm based fuzzy and neural network. The major advantage of the proposed system is its ease of implementation and fast convergence. The proposed algorithm is applied to noise canceling problem of long distance communication channel. The simulation results showed that the proposed model is effectiveness.

Neural network-based adaptive noise cancellation for enhancement of speech auditory brainstem responses

2015 ◽  
Vol 10 (2) ◽  
pp. 389-395 ◽  
Author(s):  
Shiva Gholami-Boroujeny ◽  
Anwar Fallatah ◽  
Brian P. Heffernan ◽  
Hilmi R. Dajani
Keyword(s):  
Neural Network ◽  
Noise Cancellation ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Adaptive Noise Cancellation ◽  
Adaptive Noise
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