1) Dynamic gradient
动态梯度
2) dynamic gradient method
动态梯度法
1.
For improving the reliability of PEBS detection, a novel dynamic gradient method is illustrated in this paper.
鉴于这两种方法应用的局限性,论述了新的动态梯度法,以提高识别出口点的准确性。
3) adaptable dynamic gradient arithmetic
动态梯度算法
4) morphological gradient
形态梯度
1.
Traveling-wave starting algorithm based on morphological gradient and wavelet transform modulus sum
基于形态梯度与小波变换模之和的行波启动元件
2.
On the basis of basic morphological transforms and their combined modes,transient current signals can be extracted by use of morphological gradient with adaptive weighting.
在分析数学形态学基本形态变换及其组合形式的基础上,利用自适应方法实现形态梯度自适应加权组合,在提取高频暂态电流信号的同时,可有效抑制随机噪声的影响。
3.
This paper presents a novel algorithm of identifying the inrush current and short circuit current caused by internal fault on the basis of transient detection using morphological gradient, meanwhile transient current signals are extracted by use of morphological opening and closing algorithm.
提出了一种识别变压器励磁涌流和短路电流的新方法,该方法在利用数学形态梯度进行边沿检测的同时,采用形态开闭运算有效地提取出高频暂态电流信号。
5) morphological grads
形态梯度
1.
Then edge detection based on morphological grads provides better license plate s edge and is propitious to locate exactly.
接着,运用形态梯度方法对粗定位后的图像进行边缘检测,从而更好地保持车牌的边缘。
6) ecological gradient
生态梯度
1.
The effect of the ecological gradient on the economic productiona of Zea mays L.
本文定位、定量研究了生态梯度对玉米（ＺｅａｍａｙｓＬ。
2.
Two ecological gradient axes (EGA) were suggested: EGA(CA) and EGA(r2).
应用典型相关的原理和技术,将多元地理坐标和生态因子降维成1元,研究提出2个生态梯度轴(EGA);EGA(CA_1)和EGA(r~2)。
3.
By the methods of TWINSPAN and DCCA,this paper studied the ecological gradients of the plant communities in South Lüliang Mountains,in terms of the interactions between plant species and communities and environmental factors.
采用TWINSPAN分类和DCCA排序法,从植物种、植物群落与环境因子之间的相互关系,对吕梁山南段植物群落的生态梯度进行了研究。
补充资料：G(?)teaux梯度
G(?)teaux梯度
Gateaux gradient
‘凌如以梯度【珑加倒优脚曲斌;raTo rp”脱.TI，田-咖李回H的俘甲f夺丁卓x0牛的 H中与f在x。的C自妞.玫导数(G云姗uxderi珊tiVe)f。(x。)相等的向量.换句话说，G舀teaux梯度由公式 f(x。+h)二f(凡)+(无(x。)，h)+。(h)定义，其中。(th)/t~0，当t~0.在”维Eodid空间中C冶姗以梯度f。(x。)为具有坐标 了叮(x。)___盯(凡)、 \口x:”口x，了的向量，并简称为梯度(脚djent).C冶如ux梯度概念可以推广到下列情形:X为侧组日的n流形(有限维)或无穷维Hilbert流形，而f为X上光滑实函数.f在其C冶如以梯度方向上的增长大于过此点任何其他方向的增长. B.M.THxo栩叼Po.撰郑维行译沈永欢、王声望校
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条