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
针对传统两步定位法在固定无源单站定位精度不高的问题,提出一种基于角速度先验的固定无源单站直接定位方法 .首先,给出定位场景及辐射源运动模型,根据雷达辐射源脉内、脉间以及空间采样特点,按照快时间、慢时间、快拍构建三维观测信号...针对传统两步定位法在固定无源单站定位精度不高的问题,提出一种基于角速度先验的固定无源单站直接定位方法 .首先,给出定位场景及辐射源运动模型,根据雷达辐射源脉内、脉间以及空间采样特点,按照快时间、慢时间、快拍构建三维观测信号模型.将快时间变换至频域并提取一组最强信号,利用本文提出的空时对称自相关函数(Space Time Symmetric Autocorrelation Function,STSAF),消除影响定位精度的多余相位项;然后,将经上述处理的2次观测信号进行混频,构建定位模型并给出直接定位代价函数;同时,针对性提出一种基于位置选择的MUSIC(MUltiple SIgnal Classification)算法,根据慢时间域包含的距离信息及空间域包含的方位信息,对辐射源横、纵坐标进行搜索,实现对辐射源的直接定位.本文对算法计算复杂度和克拉美罗下界(Cramer-Rao Lower Bound,CRLB)进行了理论推导,分析了影响定位精度的因素,对比所提直接定位方法与传统两步定位法的均方根误差,绘制本文方法的GDOP(Geometric Dilution Of Precision)曲线.展开更多
针对传统超声波测风装置测风精度不高、抗噪声能力弱,提出了一种改进多重信号分类(multiple signal classification,MUSIC)算法的超声波测风方法。采用一种弧形6阵元超声波传感器阵列的测风结构,推导其阵列流型;在此基础上,添加小波阈...针对传统超声波测风装置测风精度不高、抗噪声能力弱,提出了一种改进多重信号分类(multiple signal classification,MUSIC)算法的超声波测风方法。采用一种弧形6阵元超声波传感器阵列的测风结构,推导其阵列流型;在此基础上,添加小波阈值降噪算法提高信号信噪比,降低噪声信号协方差矩阵的秩;再使用PHAT加权广义互相关时延估计算法以提高时延估计的准确性,同时根据时延关系对传统MUSIC算法矢量矩阵进行改进;最后通过MUSIC算法实现对风速风向的测量。理论分析与仿真结果表明:改进后的MUSIC算法具有较好的抗噪性能和较高的风参数测量精度,测量风速绝对误差达到0.15 m/s,风向绝对误差达到2°,可以应用于对风参数要求较高的场景。展开更多
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.
文摘针对传统两步定位法在固定无源单站定位精度不高的问题,提出一种基于角速度先验的固定无源单站直接定位方法 .首先,给出定位场景及辐射源运动模型,根据雷达辐射源脉内、脉间以及空间采样特点,按照快时间、慢时间、快拍构建三维观测信号模型.将快时间变换至频域并提取一组最强信号,利用本文提出的空时对称自相关函数(Space Time Symmetric Autocorrelation Function,STSAF),消除影响定位精度的多余相位项;然后,将经上述处理的2次观测信号进行混频,构建定位模型并给出直接定位代价函数;同时,针对性提出一种基于位置选择的MUSIC(MUltiple SIgnal Classification)算法,根据慢时间域包含的距离信息及空间域包含的方位信息,对辐射源横、纵坐标进行搜索,实现对辐射源的直接定位.本文对算法计算复杂度和克拉美罗下界(Cramer-Rao Lower Bound,CRLB)进行了理论推导,分析了影响定位精度的因素,对比所提直接定位方法与传统两步定位法的均方根误差,绘制本文方法的GDOP(Geometric Dilution Of Precision)曲线.
文摘针对传统超声波测风装置测风精度不高、抗噪声能力弱,提出了一种改进多重信号分类(multiple signal classification,MUSIC)算法的超声波测风方法。采用一种弧形6阵元超声波传感器阵列的测风结构,推导其阵列流型;在此基础上,添加小波阈值降噪算法提高信号信噪比,降低噪声信号协方差矩阵的秩;再使用PHAT加权广义互相关时延估计算法以提高时延估计的准确性,同时根据时延关系对传统MUSIC算法矢量矩阵进行改进;最后通过MUSIC算法实现对风速风向的测量。理论分析与仿真结果表明:改进后的MUSIC算法具有较好的抗噪性能和较高的风参数测量精度,测量风速绝对误差达到0.15 m/s,风向绝对误差达到2°,可以应用于对风参数要求较高的场景。
