The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 25, 2018
Filed:
Jan. 15, 2015
State Grid Jiangsu Electric Power Company Nanjing Power Supply Company, Nanjing, CN;
State Grid Jiangsu Electric Power Company, Nanjing, CN;
State Grid Company Corporation of China, Beijing, CN;
Hohai University, Nanjing, CN;
Ning Jiang, Nanjing, CN;
Hongzhong Ma, Nanjing, CN;
Kai Li, Nanjing, CN;
Honghua Xu, Nanjing, CN;
Chunning Wang, Nanjing, CN;
Bingbing Chen, Naning, CN;
Hongyu Jiang, Nanjing, CN;
STATE GRID JIANGSU ELECTRIC POWER COMPANY NAN JING POWER SUPPLY COMPANY, Nanjing, or Beijing, CN;
STATE GRID JIANGSU ELECTRIC POWER COMPANY, Nanjing, or Beijing, CN;
STATE GRID COMPANY CORPORATION OF CHINA, HOHAI UNIVERSITY, Nanjing, or Beijing, CN;
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.