1) sparse vector sensor array
稀疏矢量阵
2) Sparse Matrix-Vector Multiply
稀疏矩阵向量乘
1.
Sparse Matrix-Vector Multiply,Ab=x,is one of the important kernels in Scientific Computation,Text Retrieval and Data Mining.
稀疏矩阵向量乘(Sparse M atrix-VectorMu ltip ly,SMVM),形如Ab=x,在科学计算、信息检索、数据挖掘等领域中都是重要的计算核心之一。
3) Sparse Matrix
稀疏矩阵
1.
An efficient image compression algorithm based on sparse matrix;
一种基于稀疏矩阵的高效图像压缩算法
2.
Implementation of the Sparse Matrix Multiplication based on C++;
基于C++的稀疏矩阵乘法运算器的实现
3.
Improved algorithm of sparse matrix multiplying
稀疏矩阵相乘的一个改进算法
4) sparse array
稀疏阵
1.
Clutter characteristics of linear sparse array radar;
线性稀疏阵雷达的杂波特性
2.
Ground moving target indicator(GMTI) using space-based sparse array is attractive.
针对天基稀疏孔径的两种常用类型———稀疏子阵列和非全向性阵元稀疏阵,基于空时等效理论,从等效的虚拟空间阵列角度分析了阵列的杂波自由度,得到了预测杂波自由度的简单方法,仿真结果验证了方法的有效性。
3.
This paper analyzes the effects of amplitued-phyase errors and element failure on antenna gain, beamwidth, beam direction, and sidelobe level in sparse array.
围绕天线阵增益、波束宽度、指向和副瓣电平等指标,分析了幅相误差、阵元失效对稀疏阵列天线性能的影响。
5) Sparse matrices
稀疏矩阵
1.
Then a description about how to use OOP method in electrical power system software designing in respects of system model, sparse matrices processing, universal power flow calculation etc.
本文首先介绍了面向对象程序设计 (简称 OOP)的基本特征、概念和方法 ,然后 ,从电力系统模型、稀疏矩阵处理、通用潮流类的构造等几个方面具体描述如何运用 OOP方法进行电力系统应用软件设计。
2.
The article describes the connecting way of Excel and Matlab and realizes the transferring of large-scale sparse matrices from Excel to Matlab,it makes fully use of the advantage of two software with a simple and particular method.
详细介绍了Excel与Matlab的连接方法,并实现了Excel向Matlab传送大规模稀疏矩阵,充分利用了两个软件的优点,方法简便、独特。
3.
Combining the advantages of three-element technique with those of chain technique, and benefiting from the flexibility of arrow and structure of C language, the paper develops a new technique to process sparse matrices, which is called chaining three-element technique.
综合了三元组表法和链表法的优点,利用C语言中指针和结构的灵活性,提出了一种链式三元组表法,该法能高效地处理各类问题中高阶稀疏矩阵的运算,效果显著。
6) thinned arrays
稀疏阵列
1.
Genetic algorithm and FFT for the synthesis of element weight coefficients in asymmetric thinned arrays;
运用GA和FFT确定稀疏阵列的激励幅度
2.
Genetic algorithm (GA) is used for the synthesis of thinned arrays (whose elements are thinned from the uniform grid),which uses not only element spacings but also element excitation as variables,so it provides more degree of freedom to control the characters of thinned arrays.
本文运用遗传算法 (GA)综合稀疏阵列 (单元从规则栅格中稀疏 )时 ,不仅优化单元间距 ,而且将单元激励也作为优化变量 ,从而提供了更多的自由度来控制稀疏阵列的性能 。
补充资料:稀疏
1.亦作"稀疎"。 2.不稠密。 3.犹言冷落﹐疏远。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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