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1·In this paper, grouped weight matrix (GWM) method is proposed for splice site recognition.

提出识别剪切位点的分组权重矩阵方法。

2·It is the key technology for design of the constant beamwidth array to calculate the weight matrix.

恒定束宽加权矩阵的获得方法是设计此类声纳基阵的技术关键。

3·The GWM model for splice signals is a mixture of weight matrix models (WMM) with unknown number of components.

分组权重矩阵是一个子总体数未知的混合权重矩阵模型。

4·Then, for tradition matrix clustering algorithm carries on the optimization, improved as weight matrix cluster algorithm.

然后，对传统的矩阵聚类算法进行优化，改进为权值矩阵聚类算法。

5·The weight matrix is replaced by using weight coefficient, and avoids calculating inverse matrix of the error variance matrix.

用计算加权系数的方法代替了原来的计算加权矩阵，从而避免了求解滤波误差方差阵的逆矩阵。

6·The PPC model can avoid jamming of weight matrix in the method of fuzzy synthesize judgment, the model is concise, effective, feasible.

该模型简单、高效、可行，最大限度地避免了模糊综合评判等评标方法中权重的人为干扰。

7·With partial channel state information at the transmitter, a novel transmitter based on the optimal weight matrix is proposed in MIMO-STBC system.

在发射机获得部分下行信道信息的情况下，提出了一种基于最佳权矩阵的MIMO - STBC发射机。

8·The result demonstrates that the correlated weight matrix must be applied to solving transformation parameters according to least square adjustment.

其结果表明，按最小二乘平差求转换参数时，必须使用相关权阵。

9·Grey evaluation weight matrix (6) according to identify the index weight vectors and grey evaluation weight matrix get comprehensive evaluation matrix.

灰色评价权矩阵(6)根据确定出的指标权重向量和灰色评价权矩阵，得到综合评价矩阵。

10·It is shown that the new equivalent covariance matrix and weight matrix keep not only the symmetry but also the relevance of the original covariance matrix.

该等价协方差矩阵和等价权矩阵不仅保持了原有协方差矩阵和权矩阵的对称性，而且保持了原有协方差矩阵的相关性不变。