针对在现场可编程门阵列(Field Programmable Gate Array,FPGA)上实现基于极化敏感阵列的多重信号分类(Multiple Signal Classification,MUSIC)算法进行二维波达方向(Direction of Arrival,DOA)和二维极化参数联合估计时,硬件资源占用...针对在现场可编程门阵列(Field Programmable Gate Array,FPGA)上实现基于极化敏感阵列的多重信号分类(Multiple Signal Classification,MUSIC)算法进行二维波达方向(Direction of Arrival,DOA)和二维极化参数联合估计时,硬件资源占用大、运行时间长的问题,提出了一种基于极化MUSIC算法的四维参数联合估计FPGA实现架构。该架构包括信号协方差矩阵计算模块、Jacobi旋转模块、噪声子空间提取模块、两级空间谱搜索模块和极化参数计算模块。Jacobi旋转模块被拆分为多个可复用模块,并采用查找表模块生成旋转矩阵。一级空间谱搜索模块通过二维DOA搜索初步确定信源的角度信息。二级空间谱搜索模块根据一级搜索的角度结果确定二级搜索区域各点的极化信息,并计算该区域的四维空间谱,区域内最小值对应的四维参数信息即为最终估计的信源方向角、俯仰角、极化辅助角和极化相位角。仿真结果表明,与传统极化MUSIC算法的四维搜索算法相比,该架构避免了大量四维空间谱计算,同时保证了四维参数估计的精度,显著减少了运行时间和硬件资源消耗。展开更多
Confucius was born in the state of Lu,the cultural exemplar of ritual propriety and music during the Zhou Dynasty period.Immersed in this rich cultural environment,the young Confucius enjoyed laying out cups and bowls...Confucius was born in the state of Lu,the cultural exemplar of ritual propriety and music during the Zhou Dynasty period.Immersed in this rich cultural environment,the young Confucius enjoyed laying out cups and bowls fashioned from clay on a table,pretending to officiate at mock rituals.Confucius’early life laid the groundwork for his future development as a master of ritual propriety and music and the founder of the influential Confucian school.展开更多
Find lt What could Mozart also do really well?Conversation A(in the studio)Teaching lvy:Zach:Ivy:Zach:Ivy:Let's talk about music today,Zach.Sure,lvy!I love all kinds of music.Me,too.So,let's celebrate a famous...Find lt What could Mozart also do really well?Conversation A(in the studio)Teaching lvy:Zach:Ivy:Zach:Ivy:Let's talk about music today,Zach.Sure,lvy!I love all kinds of music.Me,too.So,let's celebrate a famous musician's birthday today.OK,whose birthday?Mozart's!He was born 270 years ago today.展开更多
Salzburg is a beautiful city in Austria.It has old buildings,pretty streets and big mountains all around.The scenery is amazing!The famous movie The Sound of Music was filmed there.Many people visit Salzburg to see th...Salzburg is a beautiful city in Austria.It has old buildings,pretty streets and big mountains all around.The scenery is amazing!The famous movie The Sound of Music was filmed there.Many people visit Salzburg to see the locations from the movie.Some even do interviews there to ask people their feelings about the movie.One famous location from the movie is the Mirabell Gardens.The actors sang the song"Do-Re-Mi"there.The gardens have colorful flowers,statues and fountains.Salzburg is a fun and exciting place to visit and explore.展开更多
The purpose of this article is to contextualize the world’s oldest art song directly associated with the railway-Travelling Song by the Russian composer Mikhail Glinka(1804-1857).The composer’s personal circumstance...The purpose of this article is to contextualize the world’s oldest art song directly associated with the railway-Travelling Song by the Russian composer Mikhail Glinka(1804-1857).The composer’s personal circumstances surrounding the creation of the song are examined,along with the historical and technical background of that era.While railways have always been associated with technological progress,new solutions for high-power engines,and the accuracy of arrival and departure timetables,the poetic and romantic side of train travel and railways in general has not yet received sufficient academic coverage.This essay is intended to partially fill this gap,though it rather outlines directions for possible development of its topical range.Each of the suggested reference points and stories is in itself an example of how the arts reflected the inspiration that cutting-edge technological advances of the period were exerting on artists,musicians,and other creative individuals.展开更多
Background:Music has proven to be vital in enhancing resilience and promotingwell-being.Previously,the impact of music in sports environments was solely investigated,while this paper applies it to study environments,s...Background:Music has proven to be vital in enhancing resilience and promotingwell-being.Previously,the impact of music in sports environments was solely investigated,while this paper applies it to study environments,standing out as pioneering research.The study consists of a systematic development of a conceptual framework based on theories of Uses and Gratification Expectancy(UGE)and perceived motivation based on music elements.Their components are observed variables influencing students’psychological well-being(as the dependent variable).Resilience is examined as a mediator,influencing the relationships of both observed and dependent variables.The main purpose of this study is to highlight the positive effects of online music consumption on the psychological well-being of students.Methods:Semi-structured qualitative interviews were conducted with eighteen final year creative multimedia undergraduate students belonging to five central region Malaysian universities,especially on their UGE needs,and a similar concept survey instrument with two hundred participants.The interview data were analysed through thematic analysis,while the survey data through descriptive and Partial Least Squares Structural Equation Modeling(PLS-SEM).Results:The results highlight that students gain motivation from online music,which positively affects their psychological well-being(β=0.190,p=0.003,f^(2)=0.037),while resilience significantly affects this relationship(β=0.562,p<0.001,f^(2)=0.461).However,the results also predict a partial relationship between constructs based on UGE with psychological well-being,mediated by resilience,i.e.,AT-UGE(β=0.021,p=0.783,f^(2)=0.000),SIPI-UGE(β=0.228,p=0.004,f^(2)=0.044).Conclusion:The outcome of the study reflected practical,meaningful,and statistically significant results.The majority of the predictors,with the exception of one,i.e.,AT-UGE,displayed a clear positive relation of online music consumption on the Psychological Well-being of students.Future research will explore varying contextual factors impacting online music-related gratifications,motivations,and resilience,along with additional potential mediators and moderators.展开更多
准确测量管道介质声速有助于分析介质的密度和组分,而传统的声速测量方法重复性低、鲁棒性差。为了实现介质声速的准确测量,首先,基于管道一维声波理论推导出线阵列传感器在管道轴向位置的声信号模型,介绍了空气与水的理论声速计算公式...准确测量管道介质声速有助于分析介质的密度和组分,而传统的声速测量方法重复性低、鲁棒性差。为了实现介质声速的准确测量,首先,基于管道一维声波理论推导出线阵列传感器在管道轴向位置的声信号模型,介绍了空气与水的理论声速计算公式以及不同管材、管径和壁厚对声速衰减的影响;其次,采用MUSIC(multiple signal classification)波束形成算法将多通道时域数据转换至波数频率域,呈现出斜率与声速相关的“声学脊”;最后,使用DN50不锈钢管道分别在水和空气流量标准装置上进行声速测量实验,与理论数据相比,水中声速的相对误差为1.61%,重复性为0.45%,空气中声速的相对误差为0.59%,重复性为1.27%。结果表明MUSIC算法可准确测量管道一维声波的介质声速。展开更多
针对传统波达方向(Direction of Arrival,DOA)估计方法在低信噪比、少快拍数条件下表现性能差甚至失效的问题,提出了一种基于重构频域协方差矩阵的波达方位估计方法。该方法根据转化的频域信号进行共轭反向修正实现对噪声的抑制,构造出...针对传统波达方向(Direction of Arrival,DOA)估计方法在低信噪比、少快拍数条件下表现性能差甚至失效的问题,提出了一种基于重构频域协方差矩阵的波达方位估计方法。该方法根据转化的频域信号进行共轭反向修正实现对噪声的抑制,构造出了新的频域协方差矩阵,利用平均噪声子空间建立空间谱估计函数,通过谱峰搜索估计出信源的方位角。经仿真对比分析,所提改进方法可以识别多个相干信号,并且在低信噪比、少快拍数条件下仍然获得较好的方位估计性能,估计误差较传统算法降低2%~25%。展开更多
叶端定时是航空发动机叶片叶端振动非接触测量的有效手段,但其采样模式决定了所采信号具有高度欠采样特征,需要进行抗混叠频谱分析从而提取转子叶片固有频率这一关键指标。利用了前向平滑策略的改进多重信号分类法(multiple sIgnal clas...叶端定时是航空发动机叶片叶端振动非接触测量的有效手段,但其采样模式决定了所采信号具有高度欠采样特征,需要进行抗混叠频谱分析从而提取转子叶片固有频率这一关键指标。利用了前向平滑策略的改进多重信号分类法(multiple sIgnal classification,MUSIC)能实现抗混叠但无法充分发挥平滑方法的优势。因此,提出适用于叶端定时信号处理的前后向平滑MUSIC法,通过建立传感器的对称布局条件,利用前后向平滑方法代替前向平滑方法,得到更准确的自相关矩阵估计,进而提高叶片固有频率估计性能,并通过仿真和试验验证了在样本数量、算法参数等相同的情况下,前后向平滑MUSIC法的混叠与噪声抑制能力得到了提升。展开更多
针对空地信道动态测量对角度参数实时估计的低延迟需求,文章提出了一种基于无人机平台的空地信道测量系统的低延迟、高精度角度参数估计方法。该方法通过融合虚拟阵列缩减技术和快速特征值分解策略,可以降低传统多重信号分类(Multiple S...针对空地信道动态测量对角度参数实时估计的低延迟需求,文章提出了一种基于无人机平台的空地信道测量系统的低延迟、高精度角度参数估计方法。该方法通过融合虚拟阵列缩减技术和快速特征值分解策略,可以降低传统多重信号分类(Multiple Signal Classification,MUSIC)算法在协方差矩阵计算和特征值分解过程中的计算复杂度。外场实测数据表明,该方法在保持与经典算法相当精度时,可以大幅减少计算时间和延迟,适用于高动态空地测量场景的实时角度参数估计。展开更多
针对通信感知一体化(Integrated Sensing and Communication,ISAC)系统中基于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)不同星座概率调制的目标距离、速度与角度估计面临的时延-多普勒耦合及波形适配性不明确等问...针对通信感知一体化(Integrated Sensing and Communication,ISAC)系统中基于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)不同星座概率调制的目标距离、速度与角度估计面临的时延-多普勒耦合及波形适配性不明确等问题,文中提出了一种融合二维快速傅里叶变换(2D-FFT)与多重信号分类(Multiple Signal Classification,MUSIC)算法的联合参数估计算法。首先,设计了基于2D-FFT的距离与速度估计算法,通过频域-时域联合变换解耦时延-多普勒耦合项,实现多目标场景下的参数分离;其次,利用MUSIC算法对ISAC信号进行处理,基于子空间正交性提升到达角(Angle of Arrival,AoA)估计精度;最后,通过仿真对比了通信最优的复高斯分布与感知最优的QPSK两种星座分布下的性能。结果表明,所提算法可有效实现目标参数的高精度估计,且在相同信噪比下QPSK星座的估计精度优于复高斯分布。本文研究为OFDM-based ISAC系统的参数估计算法设计与波形选择提供了理论依据与仿真支撑。展开更多
基于多信号分类算法(Multiple Signal Classification, MUSIC)算法的地下目标定位算法在多维遍历搜索过程中存在计算复杂度高、实时性差、无法应用于车载连续探测的问题。针对此问题,本文提出了一种基于多模态麻雀搜索的MUSIC地下目标...基于多信号分类算法(Multiple Signal Classification, MUSIC)算法的地下目标定位算法在多维遍历搜索过程中存在计算复杂度高、实时性差、无法应用于车载连续探测的问题。针对此问题,本文提出了一种基于多模态麻雀搜索的MUSIC地下目标快速定位算法,该算法推导了离地探测模型下的导向矢量模型,将MUSIC算法推广到地下管道定位中,并与寻优能力强、收敛速度快的麻雀搜索算法相结合,提高了算法的实时性。此外针对多目标场景下传统麻雀搜索算法无法同时搜索多个谱峰极值的问题,本文采用聚类算法对麻雀种群进行划分,从而形成多个子种群对目标峰值并行搜索,并结合粒子群算法实现峰值处局部搜索。仿真结果表明,本文所提方案在避免2D-MUSIC算法网格量化误差的同时,用时仅为2D-MUSIC算法的0.979%,且与同类算法相比具有更高的精度与搜索成功率。展开更多
文摘针对在现场可编程门阵列(Field Programmable Gate Array,FPGA)上实现基于极化敏感阵列的多重信号分类(Multiple Signal Classification,MUSIC)算法进行二维波达方向(Direction of Arrival,DOA)和二维极化参数联合估计时,硬件资源占用大、运行时间长的问题,提出了一种基于极化MUSIC算法的四维参数联合估计FPGA实现架构。该架构包括信号协方差矩阵计算模块、Jacobi旋转模块、噪声子空间提取模块、两级空间谱搜索模块和极化参数计算模块。Jacobi旋转模块被拆分为多个可复用模块,并采用查找表模块生成旋转矩阵。一级空间谱搜索模块通过二维DOA搜索初步确定信源的角度信息。二级空间谱搜索模块根据一级搜索的角度结果确定二级搜索区域各点的极化信息,并计算该区域的四维空间谱,区域内最小值对应的四维参数信息即为最终估计的信源方向角、俯仰角、极化辅助角和极化相位角。仿真结果表明,与传统极化MUSIC算法的四维搜索算法相比,该架构避免了大量四维空间谱计算,同时保证了四维参数估计的精度,显著减少了运行时间和硬件资源消耗。
文摘Confucius was born in the state of Lu,the cultural exemplar of ritual propriety and music during the Zhou Dynasty period.Immersed in this rich cultural environment,the young Confucius enjoyed laying out cups and bowls fashioned from clay on a table,pretending to officiate at mock rituals.Confucius’early life laid the groundwork for his future development as a master of ritual propriety and music and the founder of the influential Confucian school.
文摘Find lt What could Mozart also do really well?Conversation A(in the studio)Teaching lvy:Zach:Ivy:Zach:Ivy:Let's talk about music today,Zach.Sure,lvy!I love all kinds of music.Me,too.So,let's celebrate a famous musician's birthday today.OK,whose birthday?Mozart's!He was born 270 years ago today.
文摘Salzburg is a beautiful city in Austria.It has old buildings,pretty streets and big mountains all around.The scenery is amazing!The famous movie The Sound of Music was filmed there.Many people visit Salzburg to see the locations from the movie.Some even do interviews there to ask people their feelings about the movie.One famous location from the movie is the Mirabell Gardens.The actors sang the song"Do-Re-Mi"there.The gardens have colorful flowers,statues and fountains.Salzburg is a fun and exciting place to visit and explore.
文摘The purpose of this article is to contextualize the world’s oldest art song directly associated with the railway-Travelling Song by the Russian composer Mikhail Glinka(1804-1857).The composer’s personal circumstances surrounding the creation of the song are examined,along with the historical and technical background of that era.While railways have always been associated with technological progress,new solutions for high-power engines,and the accuracy of arrival and departure timetables,the poetic and romantic side of train travel and railways in general has not yet received sufficient academic coverage.This essay is intended to partially fill this gap,though it rather outlines directions for possible development of its topical range.Each of the suggested reference points and stories is in itself an example of how the arts reflected the inspiration that cutting-edge technological advances of the period were exerting on artists,musicians,and other creative individuals.
基金funded by Malaysian Ministry of Higher Education(MOHE)under the Fundamental Research Grant Scheme(FRGS/1/2023/SSI07/MMU/02/3)which is awarded to the Multimedia University.The project is led by the second author.
文摘Background:Music has proven to be vital in enhancing resilience and promotingwell-being.Previously,the impact of music in sports environments was solely investigated,while this paper applies it to study environments,standing out as pioneering research.The study consists of a systematic development of a conceptual framework based on theories of Uses and Gratification Expectancy(UGE)and perceived motivation based on music elements.Their components are observed variables influencing students’psychological well-being(as the dependent variable).Resilience is examined as a mediator,influencing the relationships of both observed and dependent variables.The main purpose of this study is to highlight the positive effects of online music consumption on the psychological well-being of students.Methods:Semi-structured qualitative interviews were conducted with eighteen final year creative multimedia undergraduate students belonging to five central region Malaysian universities,especially on their UGE needs,and a similar concept survey instrument with two hundred participants.The interview data were analysed through thematic analysis,while the survey data through descriptive and Partial Least Squares Structural Equation Modeling(PLS-SEM).Results:The results highlight that students gain motivation from online music,which positively affects their psychological well-being(β=0.190,p=0.003,f^(2)=0.037),while resilience significantly affects this relationship(β=0.562,p<0.001,f^(2)=0.461).However,the results also predict a partial relationship between constructs based on UGE with psychological well-being,mediated by resilience,i.e.,AT-UGE(β=0.021,p=0.783,f^(2)=0.000),SIPI-UGE(β=0.228,p=0.004,f^(2)=0.044).Conclusion:The outcome of the study reflected practical,meaningful,and statistically significant results.The majority of the predictors,with the exception of one,i.e.,AT-UGE,displayed a clear positive relation of online music consumption on the Psychological Well-being of students.Future research will explore varying contextual factors impacting online music-related gratifications,motivations,and resilience,along with additional potential mediators and moderators.
文摘准确测量管道介质声速有助于分析介质的密度和组分,而传统的声速测量方法重复性低、鲁棒性差。为了实现介质声速的准确测量,首先,基于管道一维声波理论推导出线阵列传感器在管道轴向位置的声信号模型,介绍了空气与水的理论声速计算公式以及不同管材、管径和壁厚对声速衰减的影响;其次,采用MUSIC(multiple signal classification)波束形成算法将多通道时域数据转换至波数频率域,呈现出斜率与声速相关的“声学脊”;最后,使用DN50不锈钢管道分别在水和空气流量标准装置上进行声速测量实验,与理论数据相比,水中声速的相对误差为1.61%,重复性为0.45%,空气中声速的相对误差为0.59%,重复性为1.27%。结果表明MUSIC算法可准确测量管道一维声波的介质声速。
文摘针对传统波达方向(Direction of Arrival,DOA)估计方法在低信噪比、少快拍数条件下表现性能差甚至失效的问题,提出了一种基于重构频域协方差矩阵的波达方位估计方法。该方法根据转化的频域信号进行共轭反向修正实现对噪声的抑制,构造出了新的频域协方差矩阵,利用平均噪声子空间建立空间谱估计函数,通过谱峰搜索估计出信源的方位角。经仿真对比分析,所提改进方法可以识别多个相干信号,并且在低信噪比、少快拍数条件下仍然获得较好的方位估计性能,估计误差较传统算法降低2%~25%。
文摘叶端定时是航空发动机叶片叶端振动非接触测量的有效手段,但其采样模式决定了所采信号具有高度欠采样特征,需要进行抗混叠频谱分析从而提取转子叶片固有频率这一关键指标。利用了前向平滑策略的改进多重信号分类法(multiple sIgnal classification,MUSIC)能实现抗混叠但无法充分发挥平滑方法的优势。因此,提出适用于叶端定时信号处理的前后向平滑MUSIC法,通过建立传感器的对称布局条件,利用前后向平滑方法代替前向平滑方法,得到更准确的自相关矩阵估计,进而提高叶片固有频率估计性能,并通过仿真和试验验证了在样本数量、算法参数等相同的情况下,前后向平滑MUSIC法的混叠与噪声抑制能力得到了提升。
文摘针对空地信道动态测量对角度参数实时估计的低延迟需求,文章提出了一种基于无人机平台的空地信道测量系统的低延迟、高精度角度参数估计方法。该方法通过融合虚拟阵列缩减技术和快速特征值分解策略,可以降低传统多重信号分类(Multiple Signal Classification,MUSIC)算法在协方差矩阵计算和特征值分解过程中的计算复杂度。外场实测数据表明,该方法在保持与经典算法相当精度时,可以大幅减少计算时间和延迟,适用于高动态空地测量场景的实时角度参数估计。
文摘针对通信感知一体化(Integrated Sensing and Communication,ISAC)系统中基于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)不同星座概率调制的目标距离、速度与角度估计面临的时延-多普勒耦合及波形适配性不明确等问题,文中提出了一种融合二维快速傅里叶变换(2D-FFT)与多重信号分类(Multiple Signal Classification,MUSIC)算法的联合参数估计算法。首先,设计了基于2D-FFT的距离与速度估计算法,通过频域-时域联合变换解耦时延-多普勒耦合项,实现多目标场景下的参数分离;其次,利用MUSIC算法对ISAC信号进行处理,基于子空间正交性提升到达角(Angle of Arrival,AoA)估计精度;最后,通过仿真对比了通信最优的复高斯分布与感知最优的QPSK两种星座分布下的性能。结果表明,所提算法可有效实现目标参数的高精度估计,且在相同信噪比下QPSK星座的估计精度优于复高斯分布。本文研究为OFDM-based ISAC系统的参数估计算法设计与波形选择提供了理论依据与仿真支撑。
文摘基于多信号分类算法(Multiple Signal Classification, MUSIC)算法的地下目标定位算法在多维遍历搜索过程中存在计算复杂度高、实时性差、无法应用于车载连续探测的问题。针对此问题,本文提出了一种基于多模态麻雀搜索的MUSIC地下目标快速定位算法,该算法推导了离地探测模型下的导向矢量模型,将MUSIC算法推广到地下管道定位中,并与寻优能力强、收敛速度快的麻雀搜索算法相结合,提高了算法的实时性。此外针对多目标场景下传统麻雀搜索算法无法同时搜索多个谱峰极值的问题,本文采用聚类算法对麻雀种群进行划分,从而形成多个子种群对目标峰值并行搜索,并结合粒子群算法实现峰值处局部搜索。仿真结果表明,本文所提方案在避免2D-MUSIC算法网格量化误差的同时,用时仅为2D-MUSIC算法的0.979%,且与同类算法相比具有更高的精度与搜索成功率。
