Design of Signal Detection and Noise Reduction by LMS Adaptive Filter

• Main Authors: SU,PENG-YOU, 蘇篷佑
• Other Authors: Mao-Lin Chen
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/14320952871660206283

碩士 === 建國科技大學 === 自動化工程系暨機電光系統研究所 === 104 === This thesis adopts filter theory as a signal reducing noise method. This design controls signal interference and rebuilds original signal. The examine machine can accurately offer message to the reader and bring about correct test. The design uses Gold-Wave5.14 software to analyze recorded speech. Then, we use MATLAB R2007b to design LMS filter to reinforce signal sand increase signal to noise ratio（SNR）.The designed filter has the ability of self-adjusted parameters. It uses the previous obtained parameter as the current filter parameter. It can practice the optimized voice filter effect. The experiment proves that the robustness of signal in environmental interference can increase signal to noise ratio (SNR) and reduce the noise function in interference. Keywords：adaptive filter theory, LMS, SNR, LMS filter