MUSIC:多信号分类
“多信号分类”(Multiple SIgnal Classification)是计算机硬件领域的一项重要技术,常缩写为MUSIC。该缩写不仅便于日常书写与使用,还能有效提升专业交流的效率。作为一种经典的信号处理算法,它广泛应用于阵列信号处理和频谱分析中,帮助实现高精度的信号源定位与识别。
MUltiple SIgnal Classification具体释义
MUltiple SIgnal Classification的英文发音
例句
- A novel signal processing technique using the eigendecomposition and multiple signal classification algorithm for estimating skywave delays in Loran-C receiver has been presented in this paper.
- 提出了一种基于特征分解的多信号分类(MUSIC)算法估计罗兰C接收机天波延迟的信号处理新技术。
- The detailed research on another very important high-resolution estimation algorithm & multiple signal classification algorithm ( MUSIC ).
- 接下来详细研究了另一种非常重要的高分辨率估计算法&多重信号分类算法(MUSIC)。
- A new thought of combining frequency estimate method based on FFT with that based on multiple signal classification ( MUSIC ) is presented.
- 提出了将基于FFT的频率估计法和基于多重信号分类(MUSIC)的频率估计法相结合的新思路。
- Therefore, in this article we will discuss and compare two commonly used frequency domain super-resolution algorithms, the Burg algorithm and the Multiple Signal Classification ( Music ) algorithm. 4.
- 故本文将对两种比较常用的频域超分辨Burg算法和Music算法进行简单的研究和分析。
- The first algorithm uses the method of MUSIC ( multiple signal classification ) to estimate the DOAs of uncorrelated signals, and then a new matrix is constructed by squaring the spatial difference matrix to resolve the coherent signals.
- 第一种算法利用MUSIC(MUltipleSIgnalClassification)算法估计不相关信号的DOA,然后通过对差分矩阵进行平方操作构造了一个新的矩阵来对相干信号进行处理。
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