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sampling matrix
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  抽样矩阵
     This paper provides an improved fast adaptive algorithm for digital beamforming. It is an algorithm with strictly constrained minimum power sampling matrix gradient (CSMG).
     提出了一种改进的数字式波束形成的快速自适应算法,即具有严格约束最小功率的抽样矩阵梯度算法(CSMG)。
短句来源
     It has merits of both traditional sampling matrix gradient (SMG) and strictly constrained minimum power adaptive algorithm. The outputs of computer simulation are given.
     它综合了传统抽样矩阵梯度、算法和具有严格约束的最小功率自适应算法的优点。
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  “sampling matrix”译为未确定词的双语例句
     A New 2D Rake Receiver Based on Sampling Matrix and RLS-Kalman Algorithm
     基于采样数据矩阵和变步长RLS-Kalman算法的空时Rake接收机
短句来源
     A method to determine space-time sampling matrix
     一种时空采样矩阵的确定方法
短句来源
     The computer simulation results verify the validity of two adaptive algorithms applied to circular array. The algorithms are Least Square based on QR decompose (QRD-LS) and Sampling Matrix Inversion based on QR decompose (QRD-SMI).
     其次,验证了基于QR分解的最小二乘算法(QRD-LS)和基于QR分解的采样矩阵求逆方法(QRD-SMI)两种自适应算法在均匀圆阵中的有效性。
短句来源
     2. Analyzed the signal of 3-d spatio-temporal sampling in spatio-temporal domain and frequency domain, according as the base principle of sampling, adopted more-dots-marked method, gained random spatio-temporal sampling matrix of digital video signal, it proved that arithmetic is accurate and efficiency.
     2.在时空域和频域上分析三维采样的数字视频流信号,以采样矩阵方法为依据,采用多点标定方法,得到任意数字视频流的时空采样矩阵。 计算机仿真实验证明了该方法的正确性和可行性。
短句来源
     A novel 2D Rake receiver based on sampling matrix and RLSKalman algorithm was proposed in the literature. In every iteration step, the input data of 2D Rake is a matrix, which were formed by N (spread factor) samplings.
     提出了一种新的基于采样数据矩阵和变步长RLS-Kalman算法的空时二维Rake接收机,对天线阵列接收信号以码片速率连续进行扩频因子个数采样,构成输入矩阵,经过二维Rake接收机处理后得到输出.
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  相似匹配句对
     A method to determine space-time sampling matrix
     一种时空采样矩阵的确定方法
短句来源
     A Sampling Scheme for Inverse Matrix Γ Distribution
     逆矩阵Γ分布的一种抽样方法
短句来源
     Matrix Polymerization
     聚合新技术—模板(MatriX)聚合(Ⅰ)
短句来源
     JUDGEMENT FOR H-MATRIX
     H-矩阵的判定方法
短句来源
     ON THE DOUBLE SAMPLING
     关于双重抽样
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  sampling matrix
In Algorithm 3, the Main Approximation is restated using this sampling matrix formalism.
      
However, as the data collection continued and the sampling matrix filled, trees were selected to meet the target of six trees per cell of the matrix.
      
Early in the collection of the data, selection of trees was determined by access only, because most trees would fit into the required sampling matrix.
      
Common complexes, ecosystems and treatment regimes in the Kamloops and Nelson Forest Regions are summarized in the sampling matrix shown in Table 1.
      
Before we proceed, it is necessary to define precisely the sampling matrix S.
      
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Extracting finger-print(FP)of feature is the basis of automatic FP recognition,and rec-ognizing and locating cores and deltas are of special importance.Generally,the pre-processingwill make feature extraction easier and more accurate,but it increases the system consump-tion.Qwing to its complexity,it is not suitable to mini/micro-computer,in this paper,weintroduce a group of Deltaregion Templates based on the sampling matrix.Afterward,wepropose a fast algorithm,which can be used to recognize and locate...

Extracting finger-print(FP)of feature is the basis of automatic FP recognition,and rec-ognizing and locating cores and deltas are of special importance.Generally,the pre-processingwill make feature extraction easier and more accurate,but it increases the system consump-tion.Qwing to its complexity,it is not suitable to mini/micro-computer,in this paper,weintroduce a group of Deltaregion Templates based on the sampling matrix.Afterward,wepropose a fast algorithm,which can be used to recognize and locate the delta-region,in whichthe FP delta is located.The algorithm is not only suitable for simple classifying FP in a mi-cro/mini-computer-based small FP system,it can also be used as the first step for recognizingand locating deltas exactly,in a powerful FP system based on larger computer,and will re-duce the run time of the following procedures for the exact location.The experiment on morethan 100 FP images shows that the propsed algorithm and the Delta-region Templates areeasy to implement and their effects are satisfactory.

指纹特征提取是指纹自动识别的基础,其中,中心点和三角点等不变参考点识别与定位尤为重要。预处理一般将使特征提取易于进行并增加其准确性,但也增加了系统开销,其复杂度使其不宜在微机实现。本文首先提出了一组基于指纹采样矩阵的三角区模板,然后给出一个指纹采样矩阵上通过模板匹配,识别和定位出指纹三角点所在区域(我们称为三角区)的快速算法,此算法既可用在基于微机的小型指纹系统中进行指纹的简单分类,也可用在基于较大机型的大型指纹系统中作为三角点识别定位的第一步,它将大大加快后续的精确定位算法的执行速度,在100多个各类指纹上进行实验的结果表明,该算法和三角区模板的通用性强、易于实现,其效果是令人满意的。

This paper provides an improved fast adaptive algorithm for digital beamforming. It is an algorithm with strictly constrained minimum power sampling matrix gradient (CSMG). It has merits of both traditional sampling matrix gradient (SMG) and strictly constrained minimum power adaptive algorithm. The outputs of computer simulation are given. The result indicates that direction of beam will change as constraint angle changes. It can adaptively adjust zero very well. The algorithm are fast convergent....

This paper provides an improved fast adaptive algorithm for digital beamforming. It is an algorithm with strictly constrained minimum power sampling matrix gradient (CSMG). It has merits of both traditional sampling matrix gradient (SMG) and strictly constrained minimum power adaptive algorithm. The outputs of computer simulation are given. The result indicates that direction of beam will change as constraint angle changes. It can adaptively adjust zero very well. The algorithm are fast convergent.

提出了一种改进的数字式波束形成的快速自适应算法,即具有严格约束最小功率的抽样矩阵梯度算法(CSMG)。它综合了传统抽样矩阵梯度、算法和具有严格约束的最小功率自适应算法的优点。计算机模拟表明,此算法波束方向随约束角度而变,自适应调零能力较强,收敛速度也较快。

A novel 2D Rake receiver based on sampling matrix and RLSKalman algorithm was proposed in the literature. In every iteration step, the input data of 2D Rake is a matrix, which were formed by N (spread factor) samplings. The adaptive algorithm used in 2D Rake comes from the timevarying system tracking idea, and was modified to accord with input matrix. The new 2D Rake is propitious to integrate with multiuser detection technology because the structure of spread signal was reserved in 2D...

A novel 2D Rake receiver based on sampling matrix and RLSKalman algorithm was proposed in the literature. In every iteration step, the input data of 2D Rake is a matrix, which were formed by N (spread factor) samplings. The adaptive algorithm used in 2D Rake comes from the timevarying system tracking idea, and was modified to accord with input matrix. The new 2D Rake is propitious to integrate with multiuser detection technology because the structure of spread signal was reserved in 2D Rake output.

提出了一种新的基于采样数据矩阵和变步长RLS-Kalman算法的空时二维Rake接收机,对天线阵列接收信号以码片速率连续进行扩频因子个数采样,构成输入矩阵,经过二维Rake接收机处理后得到输出.自适应算法部分采用时变系统跟踪思想,改造了变步长RLS-Kalman算法,仿真结果表明,二维Rake接收机可以明显提高接收机的输出信干噪比,并保留了扩频信号的结构信息,有利于和多用户检测技术的联合.

 
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