1) weighted curve fitting method
加权适线
2) weight curve fitting method
加权适线法
1.
This paper presents a new computer curve fitting method—weight curve fitting method for discontinuous sample,based on Крицкий-Мекпь hypothesis for discontinuous series with historical flood and parameter estimation in mathematical statistics.
从含有历史洪水不连续系列的克—闵假定及数理统计中参数估计理论入手，给出了不连序系列的计算机加权适线法，并通过模型分析、工程实例计算和统计试验等检验。
3) adaptive weight
自适应加权
1.
Adaptive Weight Texture Segmentation Based on Criterion of Separability;
基于可分离性判据的自适应加权纹理图像分割
2.
Face recognition based on adaptive weight and local singular value decomposition
融合自适应加权和局部奇异值分解的人脸识别
3.
In order to solve the above problems,this paper proposes a mirrored adaptive weight(MAW)algorithm,which calculates cost vector based on adaptive neighbor weight error criterion(ANWMAE).
但由于镜像阈值层叠滤波器比传统的阈值层叠滤波器的正布尔函数长度有显著增加,从而使计算量增加,为解决这一问题,提出了一种镜像自适应加权(MAW)算法。
4) adaptive weighting
自适应加权
1.
Using computer formidable value computation and information-handling capacity,after eliminating fail data,data fusion method based on the adaptive weighting is used.
在啤酒发酵过程中,温度是一个重要的影响因素,采用单一传感器测量啤酒的发酵温度存在误差大,有较大的不确定性等I采用多传感器测量,弥补了单一传感器带来的缺陷;利用计算机强大的数值计算和信息处理能力,通过对失效数据的剔除和应用自适应加权数据融合技术对有效数据进行融合,提高了测温系统的精度和温度测量的可靠性,建立了模糊控制器的模型;实际应用表明,系统测温准确、可靠。
2.
An adaptive weighting algorithm is proposed based on the adaptive null beamforming technology,which can be used for forming arbitrary sidelobe shape beam pattern for arbitrary structure arrays,considering the effect of element directivity at the same time.
在自适应零陷形成的基础上,提出了一种自适应加权算法,用于任意阵型阵列构成具有任意形状旁瓣的波束图,并考虑基元方向性对波束图的影响。
3.
Based on the use of adaptive weighting algorithm for main lobe controlling technique,the shape of beam pattern is changed by introducing some virtual interferers in the side lobe domain and adjusting the strength of interferers at the same time.
将自适应加权方法应用于波束图的主瓣控制研究,提出了方向不变恒定束宽波束形成算法。
5) self-adaptive weighting
自适应加权
1.
The validity,accuracy and actual time of the algorithm for batched-estimation,self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
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