测试科学与仪器Issue(3)：38-47,10.DOI:10.3969/j.issn.1674-8042.2014.03.008
基于TMS320C6713的去噪自适应滤波器硬件实现
Hardware implementation of adaptive filter for noise cancellation using TMS320C6713
Swati S Godbole 1Sanjay B Pokle2
作者信息
- 1. G.H.Raisoni College of Engineering, Rashtrasant Turadoji Maharaj Nagpur University, Nagpur 440016, India
- 2. Shree Ramdevbaba College of Engineering and Management, Rashtrasant Turadoji Maharaj Nagpur University, Nagpur 440016, India
- 折叠
摘要
Abstract
Daily ,we experience the effects of audio noise ,which contaminates the original information bearing signal with noise from its surrounding environment . This paper focuses on real-time hardware implementation of multi-tap adaptive noise cancellation (ANC) system by using the least mean square (LMS) algorithm on TMS320C6713 to remove undesired noise from a received signal for various audio related applications .Three different experiments are carried out by considering different audio inputs to test the efficiency of the designed ANC system .The‘C’ code implementation of LMS algorithm is introduced and simulated in code composer studio (CCS) ,then realized on the digital signal processor (DSP) C6713 .The 300 Hz ,500 Hz ,800 Hz ,1 kHz and 3 kHz of tone signals and male speech signal are used as the reference inputs to trace the noise of signal until it is eliminated .The performance of ANC system is studied in terms of convergence speed ,order of the filter and signal-to-noise ratio (SNR) .The experimental results demonstrate that the designed system shows a consider-able improvement in SNR .关键词
自适应去噪(ANC)/数字信号处理器(DSP)/均方误差(MSE)/最小均方算法(LMS)/TMS320C6713 DSK/信号调试器(CCS)/信噪比(SNR)Key words
adaptive noise cancellation (ANC)/digital signal processor (DSP)/mean square error (MSE)/least mean square algorithm (LMS)/TMS320C6713 DSK/code composer studio (CCS)/signal-to-noise ratio (SNR)分类
信息技术与安全科学引用本文复制引用
Swati S Godbole,Sanjay B Pokle..基于TMS320C6713的去噪自适应滤波器硬件实现[J].测试科学与仪器,2014,(3):38-47,10.
