Conception and Real Time DSK C6713 of a Low Cost Adaptive Acoustic Noise Cancellation (ANC) Based Fast Fourier Transform (FFT) and Circular Convolution for Improving the Quality of Voice Communications

Acoustic noise canceller (ANC) is currently the technology emergent in the field of communications system. However quality of voice communications is one of the major aspects of communications system due to the concurrence in this field. In this paper we designed, developed and implemented on a fixed point DSP C6713 of a low cost adaptive acoustic noise canceller for improving the quality of the communication against the undesirable phenomena such as acoustic noise, and we focus on new methods of digital signal processing especially adaptive filter in frequency domain. The main scope of this paper is to implement the module, benefiting the advantage of DFT (Discrete Fourier transform) circular convolution properties and Fast Fourier Transform (FFT) high computation speed in frequency domain rather adaptive algorithms Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) in time domain with high complexity, also the simplicity of the implementation using simulink programming. The needed DSP code is generated in code composer environment under Real Time Workshop. At the experimental level, implementation phase results verify that implemented module behavior is similar to Simulink model. Keywords—Adaptive Algorithm; ANC; Real Time Implementation; Circular Convolution; Fast Fourier Transform (FFT); Digital Signal Processing (DSP).