Real-time Audio De-noising DSP System Based on Wavelet Analysis and Pattern Recognition

Based on wavelet analysis and pattern recognition technologies, the paper investigated the feature analysis and de-noising processing of audio signals within the high noises. The programming framework of audio signal sampling and processing was constructed using TI´s TMS320VC5502 microprocessor, TDS560 simulator and PC. To the questions of data transferring among the system, a solution was implemented based on DMA data transfer, double buffer switched and interrupt response mechanism under the control of DSP/BIOS. The different features between audio signals and noises were extracted by the wavelet frequency band threshold de-noising algorithm and pattern recognition technology. Other solutions to the questions of interface configuration between DMA and peripheral equipments, using method of DSP memory, etc. were presented respectively, which gives an efficient illustration for the research of related problems in the field of digital signal processing