MUSIC

摘要： The purpose of this study is to determine if there is a correlation between grades and playing an instrument.Furthermore,it will be determined if the number of hours one spends practicing their instrument and how long one has played their instrument affects one’s grade in a class.The data for this study were obtained through a Google Form and were targeted towards middle and high school students in the United States.Results of this study concluded that there is a correlation between playing an instrument and one’s grades in certain subjects.It was also determined that the amount of time spent practicing or how long one has played an instrument also had an impact on one’s grades in certain subjects.

摘要： The purpose of this study was to determine if the Drums Alive Kids Beats intervention could improve behavior in children with developmental delays (DD). The original pilot study that this study on behavior is linked to is titled, “The Effects of a Drums Alive Kids Beats Intervention on the Physical Performance and Motor Skills of Children with Developmental Delays,” which was published in the December edition of the Open Journal of Pediatrics (OJPED, Vol.11 No.4 2021). During the facilitation of said intervention on physical and motor skills, the facilitators noticed unanticipated improvements in behavior, both individually and as a community through better awareness, self-control, self-efficacy, social interaction, and positive energy. Therefore, while maintaining the integrity of the MOT 4 - 6 testing protocols and Drums Alive intervention, a parallel study was conducted to objectively measure six behavioral domains, namely, motivation, impulse control, coordination, concentration, implementation of tasks, and creativity using a self-designed measurement tool with three elements for each domain that was approved by Dr. Heiner Lagenkamp, Department of Sports and Physical Activities, Teaching and Research, Ruhr University, Germany. The 20 participants were German students between 5.10 and 10.2 years of age with no inclusion or exclusion characteristics who were divided into two intervention groups, IG Kindergarten (IG Kinder) and IG Elementary (IG Elem), with varied DD, i.e., transgressive behavior, ADHD, ADD, autism, anger management, visual acuity, self-control, and self-esteem. During the MOT 4 - 6 study and Drums Alive Kids Beats intervention, the facilitators monitored and assessed each participant for pre- and post-performance vis a vis behavior concurrently with physical and motoric skills. As the original study provided statistically significant improvements of between 14% - 24% in physical and motor skill performance with regards to overall scoring and 7 subdivisions of tasks, the results of this parallel study on behavior, with its 6 domains and 18 elements of between 24% - 28%, were even more compelling. The evidence indicated that the Drums Alive Kids Beats intervention with its multidisciplinary approach of music, movement, and drumming, could be used as an effective tool and therapeutic approach to improve behavior in children with developmental delays.

摘要： 以波束形成方法为理论基础,对圆阵采集到的实验数据进行doa估计分析。文章研究了圆阵接收信号模型以及CBF算法、MUSIC算法和SBF算法等;依托湖上实验数据,分析了不同方法下的波束响应特点、连续时间下的来波信号DOA估计结果、以及SBF算法的测向分辨力。通过数据分析可知,几种方法都能够实现DOA估计的目标,但SBF算法的测向稳定性更好,且具有更高的测向分辨力。

摘要： 现有气象系统的设计和建设缺乏统一的规划,导致各系统功能全、规模小,整体的安全防护能力较弱,集约化差,“信息孤岛”现象仍然存在。论文利用大数据技术,搭建了以MySQL、GBase、HBase和分布式NAS为基础的统一数据存储环境,建设了融入业务体系的“一中心、一平台、多应用”的天津气象大数据共享网,形成了支撑天津省局特色的全业务数据服务中心,有效实现了数据的共享,流程的高度集约,极大提升了省级气象综合业务能力和数据的服务能力。实际测试表明,GBase数据库查询性能提升5倍多,而随着时间延长,甚至提升至22倍以上,HBase的查询性能在毫秒级,MySQL的查询性能在秒级。

摘要： 由于现代战争对隐身目标和远距离弱目标的测量需求凸显,使在这些方面有突出优势的MIMO雷达逐渐成为研究热点。论文研究集中式双基地MIMO雷达的多目标角度估计问题,该雷达系统的发射阵列和接收阵列间隔的距离较远,收发阵中阵元密集布置,发射天线发射相互正交的波形,在接收端进行匹配滤波处理以分离出不同信号,从而形成特有的波形分集效应,相对于传统的相控阵雷达具有较好的目标空间分辨率和参数估计能力。论文将改进后的MUSIC算法引入到双基地MIMO雷达的目标角度估计问题中,验证了方法的有效性,并准确地估计出了多个目标的角度值。

摘要： 面向室内厘米级定位及单站定位技术难点,借助射频识别(Radio Frequency Identification,RFID)收发相位同步技术优势,建立基于跳频的多载波相位距离观测方程,计算各载波在不同整周下的链路距离,利用距离方差快速求解整周模糊度,提升整周求解的鲁棒性.利用跳频并改进多重信号分类(MUltiple SIgnal Classification,MUSIC)算法建立跳频测向求解模型,消除短距离测向不同天线来波方向不平行带来的误差,实现两天线短距离标签反射信号的精确测向.最后联合载波相位测距对双天线测向结果进行筛选,实现RFID标签的单站厘米级精确定位.通过测试验证,平均定位误差低于4 cm.

摘要： Background: Stress is a universal experience, now more than ever due to an ongoing worldwide pandemic. Modern college students are not only faced with the external pressures of succeeding academically, but they’re also affected by a multitude of other variables that are causing their mental health to suffer. This social trend highlights the need for a simple, efficient, and immediate remedy for individuals suffering from these stressors. Objective: In this controlled study, we assessed the effects of two methods proven by existing research to have stress-relieving effects. Participating college students underwent music (Weightless by Marconi Union) and mindfulness meditation (Daily Calm) treatments. Methods: Ten college students were screened via a self-reporting questionnaire to identify any pre-existing conditions that may present as extraneous variables. Quantitative variables related to stress, such as alpha frequency waves and heart rate, were obtained during baseline and post-treatment stress-induced environments using an iWire EEG recorder and oximeter pulse monitor. Each individual underwent treatments for a duration of five minutes, each with noise-canceling headphones. Students were placed in an experimental stressor state induced by the Stroop test, which provided baseline stressor data. Subsequently, participants underwent each treatment, recording their heart rate before and after each. Upon each treatment’s conclusion, the Stroop test was administered again while alpha wave data was recorded. The final data set was analyzed using a repeated-measures Analysis of Variance (ANOVA) test and paired T-tests. Results: Participants’ data showed a decrease in both max-min and mean frequencies for both treatment methods, though the only statistically significant difference between baseline recordings was found in mean frequencies for meditation treatment. No significance or trend was found in changes in heart rate. Conclusions: We concluded that our hypothesis was not supported as the statistical tests showed a significant decrease in mean alpha wave frequencies between the baseline stressor and meditation data rather than that for music therapy. This is indicative of meditation’s greater effectiveness in increasing stress tolerance in participants, which lessened the effects of the controlled stressor event, generating lower alpha frequency waves. Upon experiment conclusion, possible sources of error were identified and varied between potential compounding effects of consecutively administered treatments and an inability of the Stroop Test (SCWT) to induce an adequate level of stress in all patients. In order to circumvent the aforementioned errors, we suggest a change in methodology in which treatments would be conducted on separate days and further research into the efficacy of the SCWT as an all-inclusive stress inducer.

摘要： MUSIC算法是经典的DOA估计算法,且只是一种解决非相干信源测向的超分辨算法,当两个信源完全相干时,MUSIC算法几乎失去分辨能力。因此,本文针对相干信源,研究了几种超分辨算法,进一步给出了仿真分析,最后对各种算法进行仿真对比。

摘要： Adorno believes that music is the most important art form and a typical artistic language.Music is pure,logical and linguistic.Music is an expression,i.e.,the vocalization of the unidentical things that are repressed.Music is also a kind of knowledge,with its own dialectical logic.Music has a negative truth,which allows it to be an immanent critique of society.

摘要： 西南区域数值模式预报产品是四川省特色预报服务模式产品,目前产品主要有9km产品(SWC-WARMS)和3km产品(SWC-WARR)。未来随着预报要素、预报时效的精细化程度的提高和产品种类、数据量的逐年递增,单纯的文件转发应用已经无法满足未来气象应用,而且根据省级数据环境与系统的集约化要求和省级气象大数据云平台(天擎,以下简称CMADAAS)目前对数值模式产品数据的管理能力,西南区域模式产品根据规范接入CMADAAS并且利用CMADAAS气象数据统一服务接口(MUSIC)为用户提供统一的数据服务。同时根据预报需求,可利用MICAPS4分布式数据环境提供的数据处理系统将西南区域数值模式产品接入分布式气象数据环境(MDFS),并且直接支撑MICAPS4应用。

摘要： Fashion show is a new comprehensive art, among them one of the most important elements of music plays a guided performances and appreciate the important role. In this paper, through analyzing the role ofmusic in fashion show to elucidate the music and fashion and music and performing the important relation-ship, and it is pointed out that the music to promote the art of fashion show level will play a tremendous rolem promoting.

摘要： 本文根据某机载正侧视PD雷达在试飞中实际记录的回波数据,应用频域特征分解方法和频域子空间超分辨MUSIC方法,比较分析了沙漠地区和山区的杂波特征,试图从中得到一些杂波的细节特征,给出了一些可供参考的结果.

摘要： 本文根据某机载正侧视PD雷达在试飞中实际记录的回波数据,应用频域特征分解方法和频域子空间超分辨MUSIC方法,比较分析了沙漠地区和山区的杂波特征,试图从中得到一些杂波的细节特征,给出了一些可供参考的结果.

摘要： 本文根据某机载正侧视PD雷达在试飞中实际记录的回波数据,应用频域特征分解方法和频域子空间超分辨MUSIC方法,比较分析了沙漠地区和山区的杂波特征,试图从中得到一些杂波的细节特征,给出了一些可供参考的结果.

摘要： 本文根据某机载正侧视PD雷达在试飞中实际记录的回波数据,应用频域特征分解方法和频域子空间超分辨MUSIC方法,比较分析了沙漠地区和山区的杂波特征,试图从中得到一些杂波的细节特征,给出了一些可供参考的结果.

摘要： 本文根据某机载正侧视PD雷达在试飞中实际记录的回波数据,应用频域特征分解方法和频域子空间超分辨MUSIC方法,比较分析了沙漠地区和山区的杂波特征,试图从中得到一些杂波的细节特征,给出了一些可供参考的结果.

摘要： 利用流形矩阵的特征结构对空间射频源进行波达角估计通常需要运算量很大的复矩阵分解和复函数搜索。本文构造了一种酉矩阵,利用该矩阵对均匀线阵接收信号的相关矩阵进行了实值化的处理,实现了阵列信号相关矩阵及其对应的搜索函数的实值化运算。计算机仿真表明,实值化的算法大大的减轻了系统的计算量,提高了运算精度,能够得到比复数算法更加优异的性能。

摘要： 利用流形矩阵的特征结构对空间射频源进行波达角估计通常需要运算量很大的复矩阵分解和复函数搜索。本文构造了一种酉矩阵,利用该矩阵对均匀线阵接收信号的相关矩阵进行了实值化的处理,实现了阵列信号相关矩阵及其对应的搜索函数的实值化运算。计算机仿真表明,实值化的算法大大的减轻了系统的计算量,提高了运算精度,能够得到比复数算法更加优异的性能。

摘要： 利用流形矩阵的特征结构对空间射频源进行波达角估计通常需要运算量很大的复矩阵分解和复函数搜索。本文构造了一种酉矩阵,利用该矩阵对均匀线阵接收信号的相关矩阵进行了实值化的处理,实现了阵列信号相关矩阵及其对应的搜索函数的实值化运算。计算机仿真表明,实值化的算法大大的减轻了系统的计算量,提高了运算精度,能够得到比复数算法更加优异的性能。

摘要： 本文针对使用MUSIC方法必须知道信号源的数目,提出了两种修正方法,来确定信号源。并用Matlab作仿真,验证了修正方法的正确性。

摘要： 本发明公开了一种用于MUSIC算法的阵元位置误差校准方法，包括：根据工作频点、空间目标位置、目标个数、阵元位置误差下阵列天线的阵元数、单元间距，计算出虚拟均匀天线阵列的阵元数、阵元间距及其最小均方差；根据所述协方差矩阵计算优化内插虚拟均匀天线阵列的均方根误差；接收所述均方根误差，根据实测工作频点的范围，实时控制虚拟均匀天线阵列的阵元数、阵元间距；根据虚拟均匀天线阵列的阵元数、阵元间距及工作频点，得到阵元位置误差下被校正的MUSIC谱。本发明方法根据用阵列天线理论及维纳滤波理论，利用虚拟内插得到的均匀阵列，实现阵元位置误差的校正补偿，保证MUSIC算法的空间谱估计性能。本发明技术具有灵活性高及适用性广等优点。

摘要： 本发明提供一种均匀线阵MUSIC空间谱估计方法，应用于雷达通信、导航的目标测角，该方法包括：获取阵列接收信号的协方差矩阵；对协方差矩阵进行托普利兹预处理；对托普利兹预处理后的矩阵进行特征分解；利用特征分解后的特征值进行信源数目估计；利用阵列接收信号的导向矢量构造误差校正矩阵；利用信号子空间中的导向矢量与噪声子空间的近似正交性以及误差校正矩阵构造谱估计公式，进行优化搜索。本方法在多种非理想因素同时存在时，仍然可以稳定、准确估计回波信号的波达方向。

摘要： 本发明公开了一种基于MUSIC的低温环境多阵列局部放电定位系统及方法，包括超声波阵列组和信号采集处理装置；所述超声波阵列组包含m台超声波接收阵列，用于探测局部放电产生的超声波信号，所述信号采集处理装置接收所述超声波阵列组探测到的超声波信号，通过MUSIC算法处理所述超声波信号，估算局部放电信号与所述超声波接收阵列的相对角度，并利用空间三维定位算法，定位局部放电位置。本发明可适用于易发生局部放电的场景中，可在局部放电发生后自动检测局部放电的位置，并且快速定位，方便工作人员的检修，有利于加快电网故障的抢修速度。

摘要： 本发明公开了一种毫米波MIMO‑OFDM系统中基于3D‑MUSIC算法的信道估计方法，适用于毫米波通信领域使用。首先建立上行链路信号传输的宽带稀疏多路径参数化信道模型，其中每条路径由传输时延，到达角(AOA)，离开角(AOD)以及路径增益这四个参数指定；然后，通过三维波束空间多信号分类(MUSIC)算法同时估计出信道的AOA、时延和AOD这三个参数，并通过鸡群优化(CSO)算法来确定空间谱上多个谱峰的所在位置；最后，通过最小二乘(LS)法估计出信道的路径增益参数。本发明所提出的信道估计方法具有非常高的准确性，以及较好的信道参数估计性能。

摘要： 本发明公开了一种基于空间平滑MUSIC改进的米波雷达低仰角测高方法，包括：建立米波雷达阵列接收信号模型；基于米波雷达阵列接收信号模型，建立米波雷达低仰角测高多径信号模型；获取前向空间平滑协方差矩阵和后向空间平滑协方差矩阵；获取双向空间平滑数据协方差矩阵；基于双向空间平滑数据协方差矩阵，构造托普利茨矩阵；基于实值变换矩阵，将双向空间平滑数据协方差矩阵转换为空间平滑实值协方差矩阵；对空间平滑实值协方差矩阵进行特征分解，得到实数域信号子空间和噪声子空间，并构造空间谱估计函数；获取目标波达方向的估计值；获取目标高度。本发明能够提高米波雷达低仰角测高的精度、分辨率和效率。

摘要： 本发明公开了一种基于激励聚焦扫描的各向异性补偿MUSIC损伤成像方法，包括：针对强衰减各向异性结构上成像精度低的问题，采用自激励自传感压电传感器阵列，对阵列激励信号聚焦扫描，提高损伤散射信号的信噪比；利用事先测量的各方向上的导波传播速度，采用扫描方向‑阵元方向的双重各向异性补偿机制，在MUSIC扫描过程中自适应校正阵列方向矢量；将激励聚焦扫描与MUSIC算法相结合，实现最终的损伤成像定位。本发明提高了损伤散射阵列信号的信噪比，补偿了结构各向异性引起的阵列误差，在强衰减各向异性结构的损伤成像定位中具有广泛的应用前景。

摘要： 本发明公开了一种基于CS‑MUSIC矿井提升机故障源定位分析方法，包括对多通道的矿井提升机音频信号进行预处理；通过提取音频信号的MFCC特征参数并对故障的音频信号进行二次分帧、对协方差矩阵进行特征分解，结合MUSIC的频估计函数，最终实现故障识别和故障音频信号的方位。使用CS算法对MUSIC定位结果进行寻优，显著提高了定位的精准率。本发明具有诸多优势，采用了识别和定位算法相结合并通过CS对定位结果进行寻优，与传统的定位方法相比，具有实时性高、操作简便、定位算法结果准确率高的优势。

摘要： 本发明公开了一种基于MUSIC算法的米波极化敏感阵列雷达测高方法，提出了修正极化平滑广义MUSIC算法，在极化平滑处理后进行了前后空间平滑处理，实现了更好的低角度估计性能。最后提出了极化合成导向矢量MUSIC算法，利用合成导向矢量而不是普通的导向矢量，不需要解决相干问题，然后利用MUSIC算法得到低仰角区域目标的测高结果。同时，对接收数据进行适当的变形与归类，用瑞利‑利兹理论进行角度分解实现极化和波达方向角度的解耦合，然后利用直达波和反射波的几何关系和先验信息继续进行降维处理来降低算法的计算复杂度。仿真结果表明本发明提出的修正极化平滑广义MUSIC算法和极化合成导向矢量MUSIC算法计算复杂度低，测量精度好。

摘要： 本发明公开了一种基于矩阵重构的米波极化MIMO雷达实值MUSIC测高方法，针对米波极化MIMO雷达测高信号模型特点及矩阵重构技术良好的解相干能力，提出了一种基于矩阵重构的奇异值分解实值MUSIC测高方法。针对米波极化MIMO雷达，首先推导了对应的平坦地面信号模型；然后对接收数据矩阵进行矩阵重构消除了多径相干信号对高度测量的影响；然后利用酉矩阵将重构后的数据矩阵转换为实值矩阵；为了降低噪声对信号子空间的影响且降低数据维度，奇异值分解技术被应用于接收信号数据；最后根据信号子空间与噪声子空间正交的原理估计目标仰角值和高度值。本发明所提方法无需已知反射系数、波程差和极化信息等先验知识，最终通过仿真实验表明本发明具有良好的精度和鲁棒性。

摘要： 本发明提出了一种基于多重信号分类(MUltiple Signal Classification,MUSIC)和匹配追踪(Matching Pursuit,MP)融合的参数估计方法。首先，本方法将获取的信道状态信息(Channel StateInformation,CSI)数据从子载波、天线两个维度来构建二维矩阵。其次，将二维矩阵进行信号子空间和噪声子空间分解，从而构造谱函数。在谱函数的基础上，通过一维MUSIC算法对信号的飞行时间(Time of Flight,ToF)进行估计。最后，将估计得到的ToF带入MP算法中构造字典矩阵对到达角(Angle of Arrival,AoA)进行估计。本发明设计的融合参数估计方法在利用MUSIC算法的优势保障参数估计精度的同时又利用MP算法运行速度快的优势，降低了融合后的算法复杂度，从而实现二维参数估计的性能指标优化。