Abstract: The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.
Type:
Grant
Filed:
January 15, 2015
Date of Patent:
September 25, 2018
Assignees:
STATE GRID JIANGSU ELECTRIC POWER COMPANY NAN JING POWER SUPPLY COMPANY, STATE GRID JIANGSU ELECTRIC POWER COMPANY, STATE GRID COMPANY CORPORATION OF CHINA, HOHAI UNIVERSITY
Inventors:
Ning Jiang, Hongzhong Ma, Kai Li, Honghua Xu, Chunning Wang, Bingbing Chen, Hongyu Jiang