In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise ...In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise from the new waveform. There are a lot of shortcomings in the use of such a method. The features of new waveform are difficult to be controlled, and thus the noise generated by the wave and the interference of wave will be disturbed by the filter to certain degree. In this paper, the integrated faltering algorithm is introduced, and a wave can be used in the studied use of small waveform, and also the high-order algorithm in mathematics is used, so that the frequency is controlled in a certain range, the frequency of heart sounds to be interfered is effectively reduced, and also the harmonic harm generated by the waveform is considered. After the signal sources are protected with some technologies, the effect of filtering and denoising is eventually achieved.展开更多
针对天调网络传输过程中信道衰落、多路径干扰等产生的复杂噪声问题,提出基于多层信号预处理算法、自适应滤波器参数动态调节技术和智能降噪算法优化策略的综合降噪技术方案。通过小波变换、维纳滤波和形态学滤波构建多层预处理体系,采...针对天调网络传输过程中信道衰落、多路径干扰等产生的复杂噪声问题,提出基于多层信号预处理算法、自适应滤波器参数动态调节技术和智能降噪算法优化策略的综合降噪技术方案。通过小波变换、维纳滤波和形态学滤波构建多层预处理体系,采用归一化最小均方(Normalized Least Mean Square,NLMS)算法实现滤波器参数实时调节,运用深度学习技术优化噪声识别与抑制效果。实验结果表明,该方案在2.4~2.5 GHz的天调网络工作频段内不仅可以提高信噪比,还能降低误码率,显著改善天调网络通信质量。展开更多
文摘In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise from the new waveform. There are a lot of shortcomings in the use of such a method. The features of new waveform are difficult to be controlled, and thus the noise generated by the wave and the interference of wave will be disturbed by the filter to certain degree. In this paper, the integrated faltering algorithm is introduced, and a wave can be used in the studied use of small waveform, and also the high-order algorithm in mathematics is used, so that the frequency is controlled in a certain range, the frequency of heart sounds to be interfered is effectively reduced, and also the harmonic harm generated by the waveform is considered. After the signal sources are protected with some technologies, the effect of filtering and denoising is eventually achieved.
文摘针对天调网络传输过程中信道衰落、多路径干扰等产生的复杂噪声问题,提出基于多层信号预处理算法、自适应滤波器参数动态调节技术和智能降噪算法优化策略的综合降噪技术方案。通过小波变换、维纳滤波和形态学滤波构建多层预处理体系,采用归一化最小均方(Normalized Least Mean Square,NLMS)算法实现滤波器参数实时调节,运用深度学习技术优化噪声识别与抑制效果。实验结果表明,该方案在2.4~2.5 GHz的天调网络工作频段内不仅可以提高信噪比,还能降低误码率,显著改善天调网络通信质量。
