Development of Real-Time Adaptive Noise Canceller and Echo Canceller

Abstract

In this paper, the adaptive cancellation structure is first developed based on the LMS algorithm and FIR adaptive filtering. Then the novel practical noise and echo cancellation systems are built using the proposed adaptive technique and implemented using TX320TMS67C13 DSKs, which are Texas Instruments’ Digital Signal Processing (TI DSP) boards. Although adaptive filtering is an exciting topic in which many real-life applications can be explored [1]-[6], [9], building such a real-time system is often challenging due to the use of theoretical math, advanced DSP knowledge and practical industrial hands-on experience [1],[4]-[6],[9]. Therefore, this paper indicates that it is possible to apply traditional mathematics in adaptive filtering theory to real-time practical DSP systems. With the MATLAB software tool, we can simulate and verify various adaptive filtering designs first. Then, development and implementation of different noise or echo cancellation systems with adaptive filtering techniques can be successfully performed using the floating-point digital signal processor, TX320TMS67C13 DSK. Furthermore, it can be shown that TX320TMS67C13 DSKs with their stereo channels offer more effective and flexible tools for various noise cancellation applications.