提出人耳掩蔽效应与■阶STSA-MMSE(Short Time Spectral Amplitude-Minimum Mean SquareError)算法动态结合的语音增强算法.该算法通过引入参量■提高了STSA-MMSE算法的实时性,同时结合人耳掩蔽效应,动态的确定增强滤波器的传递函数以...提出人耳掩蔽效应与■阶STSA-MMSE(Short Time Spectral Amplitude-Minimum Mean SquareError)算法动态结合的语音增强算法.该算法通过引入参量■提高了STSA-MMSE算法的实时性,同时结合人耳掩蔽效应,动态的确定增强滤波器的传递函数以适应语音信号的变化,来提高语音质量.实验结果表明,和STSA-MMSE算法相比,该算法在实时性方面有很大改善,并使降噪后的语音信号有较小的失真,同时很好地抑制了音乐噪音.展开更多
在现有的图聚类方法中,大多数聚类方法只关注图的拓扑结构或节点属性而忽略另一方面.为解决这一问题,相关文献中提出了基于图的结构与属性的图聚类方法.但这些聚类方法存在建立的图模型不准确、聚类效果不理想、算法执行效率低等缺点....在现有的图聚类方法中,大多数聚类方法只关注图的拓扑结构或节点属性而忽略另一方面.为解决这一问题,相关文献中提出了基于图的结构与属性的图聚类方法.但这些聚类方法存在建立的图模型不准确、聚类效果不理想、算法执行效率低等缺点.针对上述图聚类方法中存在的问题,提出了一种基于结构-属性的时空对象图聚类方法(spatio-temporal object graph clustering algorithm based on structure and attribute,STSA).首先提出了属性加权图模型,在此基础上建立了结构-属性的统一度量方法,并采用随机游走模型技术将节点间结构与属性关系转换为相应的相似度矩阵,结合图结构-属性关系及相似度矩阵,采用信息传递算法对图进行聚类,解决了现有图聚类方法中所存在的问题,最后通过实验验证了提出的STSA方法的正确性和有效性.展开更多
This paper presents the analytical design and high performance of step-constant tapered slot antenna (STSA) for ultra-wideband application. The return loss, radiation pattern, antenna gain, and level of cross polariza...This paper presents the analytical design and high performance of step-constant tapered slot antenna (STSA) for ultra-wideband application. The return loss, radiation pattern, antenna gain, and level of cross polarization of this antenna are presented and analyzed. Utilizing Rogers (RO3006) substrate having a relative permittivity of 6.15, the proposed antenna provides the ultra-wideband (UWB) from 3.1 GHz to 10.6 GHz. It is observed that the return loss and gain are increased with increasing the step size. It has been observed from the simulation results incorporating CST microwave studio commercial software version 2015, the optimum return loss, directivity and gain are ?43 dB, 10.52 dBi and 10.20 dB, respectively, for 15 step size. Therefore, the newly proposed antenna will be a decent candidate for ultra-wideband application.展开更多
An improved method based on minimum mean square error-short time spectral amplitude （MMSE-STSA） is proposed to cancel background noise in whispered speech. Using the acoustic character of whispered speech, the algor...An improved method based on minimum mean square error-short time spectral amplitude （MMSE-STSA） is proposed to cancel background noise in whispered speech. Using the acoustic character of whispered speech, the algorithm can track the change of non-stationary background noise effectively. Compared with original MMSE-STSA algorithm and method in selectable mode Vo-coder （SMV）, the improved algorithm can further suppress the residual noise for low signal-to-noise radio （SNR） and avoid the excessive suppression. Simulations show that under the non-stationary noisy environment, the proposed algorithm can not only get a better performance in enhancement, but also reduce the speech distortion.展开更多
文摘提出人耳掩蔽效应与■阶STSA-MMSE(Short Time Spectral Amplitude-Minimum Mean SquareError)算法动态结合的语音增强算法.该算法通过引入参量■提高了STSA-MMSE算法的实时性,同时结合人耳掩蔽效应,动态的确定增强滤波器的传递函数以适应语音信号的变化,来提高语音质量.实验结果表明,和STSA-MMSE算法相比,该算法在实时性方面有很大改善,并使降噪后的语音信号有较小的失真,同时很好地抑制了音乐噪音.
文摘在现有的图聚类方法中,大多数聚类方法只关注图的拓扑结构或节点属性而忽略另一方面.为解决这一问题,相关文献中提出了基于图的结构与属性的图聚类方法.但这些聚类方法存在建立的图模型不准确、聚类效果不理想、算法执行效率低等缺点.针对上述图聚类方法中存在的问题,提出了一种基于结构-属性的时空对象图聚类方法(spatio-temporal object graph clustering algorithm based on structure and attribute,STSA).首先提出了属性加权图模型,在此基础上建立了结构-属性的统一度量方法,并采用随机游走模型技术将节点间结构与属性关系转换为相应的相似度矩阵,结合图结构-属性关系及相似度矩阵,采用信息传递算法对图进行聚类,解决了现有图聚类方法中所存在的问题,最后通过实验验证了提出的STSA方法的正确性和有效性.
文摘This paper presents the analytical design and high performance of step-constant tapered slot antenna (STSA) for ultra-wideband application. The return loss, radiation pattern, antenna gain, and level of cross polarization of this antenna are presented and analyzed. Utilizing Rogers (RO3006) substrate having a relative permittivity of 6.15, the proposed antenna provides the ultra-wideband (UWB) from 3.1 GHz to 10.6 GHz. It is observed that the return loss and gain are increased with increasing the step size. It has been observed from the simulation results incorporating CST microwave studio commercial software version 2015, the optimum return loss, directivity and gain are ?43 dB, 10.52 dBi and 10.20 dB, respectively, for 15 step size. Therefore, the newly proposed antenna will be a decent candidate for ultra-wideband application.
文摘An improved method based on minimum mean square error-short time spectral amplitude （MMSE-STSA） is proposed to cancel background noise in whispered speech. Using the acoustic character of whispered speech, the algorithm can track the change of non-stationary background noise effectively. Compared with original MMSE-STSA algorithm and method in selectable mode Vo-coder （SMV）, the improved algorithm can further suppress the residual noise for low signal-to-noise radio （SNR） and avoid the excessive suppression. Simulations show that under the non-stationary noisy environment, the proposed algorithm can not only get a better performance in enhancement, but also reduce the speech distortion.
