James Joyce’s poetry collection, Chamber Music, which he defines as “chambermade music,” epitomizes his literary pursuit of musicality and resonates with his dual identity as both a lyric poet and an Irishman. Musi...James Joyce’s poetry collection, Chamber Music, which he defines as “chambermade music,” epitomizes his literary pursuit of musicality and resonates with his dual identity as both a lyric poet and an Irishman. Musicality in Chamber Music can first be seen in allusions to musical elements which contribute to the musical revelation of emotions. Furthermore, repetition pervades Chamber Music both in themes and structure, resonating with the cyclical nature of Irish music. Under the influence of the Irish Revival, Joyce creatively navigates the realm of musical lyrics, draws a balance between English and Irish traditions, and provides a seminal model for his further exploration of musical writing in his later masterpieces.展开更多
From the perspective of linguistic musicology,this paper discusses the musical features of Yulinling:Farewell in Autumn,a representative work of Yong Liu,a famous lyricist of the Song Dynasty.Through a systematic anal...From the perspective of linguistic musicology,this paper discusses the musical features of Yulinling:Farewell in Autumn,a representative work of Yong Liu,a famous lyricist of the Song Dynasty.Through a systematic analysis of the core elements of the poem,such as rhyme,timbre,key,and rhythm,it reveals the intrinsic connection between poetry and music and proposes a new way of thinking about the modern interpretation of ancient poetic songs.This paper not only enriches the understanding of Yong Liu’s works but also provides new theoretical support for modern music education of classical poetry.In addition,this paper explores the practical application value of poetic musicality analysis in cultural inheritance and modern adaptation of classical poems,providing new insights into the contemporary inheritance of cultural heritage.展开更多
The musicality of poetry is a project that has been in great need of scholars'attentions and studies due to its charming typicality,which has been a rarely-visited for a long time.To get away with this intellectua...The musicality of poetry is a project that has been in great need of scholars'attentions and studies due to its charming typicality,which has been a rarely-visited for a long time.To get away with this intellectual sterility and poverty,and highlight the aesthetic universality of the musicality in poetic texts,this paper aims to give a preliminary exploration of the metrical musicality in A Red,Red Rose.展开更多
Le Clezio takes his novels as art and imbues his novels with elements of music,which abound in his novels.He strikes to present his novels in an artistic way by combining words and the music,thus showing his great con...Le Clezio takes his novels as art and imbues his novels with elements of music,which abound in his novels.He strikes to present his novels in an artistic way by combining words and the music,thus showing his great concern for the soul and well-being of human kind.This thesis probes into how musical elements are used in his novel to construct identity,make language of the novels musical,and offer a narrative structure.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
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
With the development of new media technology and the popularity of the TikTok platform in China,a large number of popular vocal music teachers have flocked to online platforms for teaching.Online vocal music education...With the development of new media technology and the popularity of the TikTok platform in China,a large number of popular vocal music teachers have flocked to online platforms for teaching.Online vocal music education in China is undergoing a transformation and facing challenges.This study adopts an exploratory research approach,interviewing students learning pop vocal music,and observing popular pop teachers on TikTok.The advantages,disadvantages,techniques,and methods of domestic TikTok pop vocal music teaching were investigated and studied,and a series of experiences and suggestions for optimizing TikTok teaching were put forward.The results of this study are helpful for understanding the advantages and disadvantages of TikTok pop vocal music teaching and grasping the correct development direction.These guidance and suggestions can stimulate teachers’creativity and improve their vocal music teaching level.展开更多
实际变压器局部放电定位过程中放电源数目是未知的,常利用传统高分辨波达方向(direction of arrival,DOA)估计算法解决放电定位问题,但在信源数欠估计、过估计情况下存在定位精度低、误差大的问题。为此,本文提出了一种基于改进盖氏圆(g...实际变压器局部放电定位过程中放电源数目是未知的,常利用传统高分辨波达方向(direction of arrival,DOA)估计算法解决放电定位问题,但在信源数欠估计、过估计情况下存在定位精度低、误差大的问题。为此,本文提出了一种基于改进盖氏圆(geschgorin disk estimator,GDE)准则联合多重信号分类(multiple signal classification,MUSIC)算法的变压器局部放电多目标定位方法。首先,利用改进盖氏圆准则确定真实放电源数目;然后,在信源数确定的情况下利用MUSIC算法对多个局部放电源的波达方向进行估计。仿真结果表明,本方法定位精度高,且在白噪声和空间色噪声的情况下仍能对放电源的俯仰角和方位角进行准确估计,能够满足实际工程需求。展开更多
文摘James Joyce’s poetry collection, Chamber Music, which he defines as “chambermade music,” epitomizes his literary pursuit of musicality and resonates with his dual identity as both a lyric poet and an Irishman. Musicality in Chamber Music can first be seen in allusions to musical elements which contribute to the musical revelation of emotions. Furthermore, repetition pervades Chamber Music both in themes and structure, resonating with the cyclical nature of Irish music. Under the influence of the Irish Revival, Joyce creatively navigates the realm of musical lyrics, draws a balance between English and Irish traditions, and provides a seminal model for his further exploration of musical writing in his later masterpieces.
基金2021 Ministry of Education Humanities and Social Sciences Research Youth Fund Project“Research on Chinese Classical Poetry and Ballads”Phased Results Perspectives of Linguistic Musicology(1912-2012)(21YJC760077)。
文摘From the perspective of linguistic musicology,this paper discusses the musical features of Yulinling:Farewell in Autumn,a representative work of Yong Liu,a famous lyricist of the Song Dynasty.Through a systematic analysis of the core elements of the poem,such as rhyme,timbre,key,and rhythm,it reveals the intrinsic connection between poetry and music and proposes a new way of thinking about the modern interpretation of ancient poetic songs.This paper not only enriches the understanding of Yong Liu’s works but also provides new theoretical support for modern music education of classical poetry.In addition,this paper explores the practical application value of poetic musicality analysis in cultural inheritance and modern adaptation of classical poems,providing new insights into the contemporary inheritance of cultural heritage.
文摘The musicality of poetry is a project that has been in great need of scholars'attentions and studies due to its charming typicality,which has been a rarely-visited for a long time.To get away with this intellectual sterility and poverty,and highlight the aesthetic universality of the musicality in poetic texts,this paper aims to give a preliminary exploration of the metrical musicality in A Red,Red Rose.
文摘Le Clezio takes his novels as art and imbues his novels with elements of music,which abound in his novels.He strikes to present his novels in an artistic way by combining words and the music,thus showing his great concern for the soul and well-being of human kind.This thesis probes into how musical elements are used in his novel to construct identity,make language of the novels musical,and offer a narrative structure.
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。
文摘With the development of new media technology and the popularity of the TikTok platform in China,a large number of popular vocal music teachers have flocked to online platforms for teaching.Online vocal music education in China is undergoing a transformation and facing challenges.This study adopts an exploratory research approach,interviewing students learning pop vocal music,and observing popular pop teachers on TikTok.The advantages,disadvantages,techniques,and methods of domestic TikTok pop vocal music teaching were investigated and studied,and a series of experiences and suggestions for optimizing TikTok teaching were put forward.The results of this study are helpful for understanding the advantages and disadvantages of TikTok pop vocal music teaching and grasping the correct development direction.These guidance and suggestions can stimulate teachers’creativity and improve their vocal music teaching level.
文摘实际变压器局部放电定位过程中放电源数目是未知的,常利用传统高分辨波达方向(direction of arrival,DOA)估计算法解决放电定位问题,但在信源数欠估计、过估计情况下存在定位精度低、误差大的问题。为此,本文提出了一种基于改进盖氏圆(geschgorin disk estimator,GDE)准则联合多重信号分类(multiple signal classification,MUSIC)算法的变压器局部放电多目标定位方法。首先,利用改进盖氏圆准则确定真实放电源数目;然后,在信源数确定的情况下利用MUSIC算法对多个局部放电源的波达方向进行估计。仿真结果表明,本方法定位精度高,且在白噪声和空间色噪声的情况下仍能对放电源的俯仰角和方位角进行准确估计,能够满足实际工程需求。
