基于SOPC的语音增强研究-通信与信息系统专业论文.docxVIP

基于SOPC的语音增强研究-通信与信息系统专业论文.docx

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基于SOPC的语音增强研究-通信与信息系统专业论文

Abstract In the digital voice communications, a strong background noise makes a lot of voice-processing system performance declined dramatically. For example, the missile launch site is very seriously polluted by the various background noise environment. In order to eliminate the impact of such noise, the speech enhancement technology research and practical research is very necessary. Voice digital voice enhancement technology is an important signal processing branch, has been widely used in areas such as mobile phones, conference calling, recording scenes and so on. IT also works as the pretreatment part of many speech codes and identification systems. Through enhanced treatment can significantly improve the performance of the systems which under the conditions of noise, improve the anti-noise ability. Whether military or civilian, have very broad prospects. Large number of experiments show that, in the background of strong noise, Adaptive Noise Cancellation which based on adaptive filter gets the best effect of the strengthening. Adaptive filter is one of the forefront issues of the filter development. Adaptive filter in the field of digital signal processing have broad prospects. Adaptive filter research work mainly consists of two parts: adaptive algorithms and hardware Implementation. Based on the extensive literature ,the research makes in-depth understanding of the principle of adaptive filter, analyzes and summaries the adaptive algorithms, selects out the adaptive algorithm which suited for the FPGA hardware implementation- LMS adaptive algorithm. And analyzes the choice of the algorithm step, lays a good foundation for the realization of the hardware. I make the simulation of the adaptive filter and get the reasonable result in the MATLAB. With the development of electronic design automation, field programmable gate array of integration greatly improved, also broader applications. Therefore, FPGA and SOPC technology achieves the first choice of adaptive f

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