Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise dete...Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.展开更多
为改善压缩感知雷达(Compressive Sensing Radar,CSR)在干扰噪声背景下目标检测及距离-多普勒参数的估计性能,该文提出一种感知矩阵平均相干系数(Averaged Coherence of the Sensing Matrix,ACSM)与信干噪比(Signal to Interference and...为改善压缩感知雷达(Compressive Sensing Radar,CSR)在干扰噪声背景下目标检测及距离-多普勒参数的估计性能,该文提出一种感知矩阵平均相干系数(Averaged Coherence of the Sensing Matrix,ACSM)与信干噪比(Signal to Interference and Noise Ratio,SINR)联合优化的波形设计方法.文中首先建立了CSR距离-多普勒二维参数感知模型,推导了波形联合优化设计的目标函数,其次以多相编码信号作为优化码型并采用模拟退火(Srmulated Annealing,SA)算法对目标函数进行优化求解.与传统CSR波形相比,优化设计的波形提高了CSR在低信干噪比条件下的成功检测概率,同时有效降低了目标距离-多普勒参数估计误差,由此改善了CSR在干扰噪声背景下的距离-多普勒成像质量.计算机仿真验证了该方法的有效性.展开更多
This paper concerns the identification problem of scalar errors-in-variables(EIV)systems with general nonlinear output observations and ARMA observation noises.Under independent and identically distributed(i.i.d.)Gaus...This paper concerns the identification problem of scalar errors-in-variables(EIV)systems with general nonlinear output observations and ARMA observation noises.Under independent and identically distributed(i.i.d.)Gaussian inputs with unknown variance,recursive algorithms for estimating the parameters of the EIV systems are presented.For general nonlinear observations,conditions on the system are imposed to guarantee the almost sure convergence of the estimates.A simulation example is included to justify the theoretical results.展开更多
基金Supported by the Research on Multi-channel Audio Noise Reduction Algorithm(No.3132014XNG1430)
文摘Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.
文摘为改善压缩感知雷达(Compressive Sensing Radar,CSR)在干扰噪声背景下目标检测及距离-多普勒参数的估计性能,该文提出一种感知矩阵平均相干系数(Averaged Coherence of the Sensing Matrix,ACSM)与信干噪比(Signal to Interference and Noise Ratio,SINR)联合优化的波形设计方法.文中首先建立了CSR距离-多普勒二维参数感知模型,推导了波形联合优化设计的目标函数,其次以多相编码信号作为优化码型并采用模拟退火(Srmulated Annealing,SA)算法对目标函数进行优化求解.与传统CSR波形相比,优化设计的波形提高了CSR在低信干噪比条件下的成功检测概率,同时有效降低了目标距离-多普勒参数估计误差,由此改善了CSR在干扰噪声背景下的距离-多普勒成像质量.计算机仿真验证了该方法的有效性.
基金supported by the National Natural Science Foundation of China under Grant No.11571362.
文摘This paper concerns the identification problem of scalar errors-in-variables(EIV)systems with general nonlinear output observations and ARMA observation noises.Under independent and identically distributed(i.i.d.)Gaussian inputs with unknown variance,recursive algorithms for estimating the parameters of the EIV systems are presented.For general nonlinear observations,conditions on the system are imposed to guarantee the almost sure convergence of the estimates.A simulation example is included to justify the theoretical results.
