There is no optimum step size at different speed.
其中，移动速度不同，最佳步长也不同；
Method accepts a starting index , as well as a step size.
方法接受起始索引以及步长。
The range method accepts a starting index, as well as a step size.
range方法接受起始索引以及步长。
Step size and transmitting errors impact the control precision.
步长和误码主要影响控制的精度；
A novel variable step size algorithm is presented in this paper.
提出了一种新的变步长算法。
Note that if the step attribute is omitted, the step size defaults to 1.
如果省略了step属性，那么步长缺省为1。
Variable step size adaptive nonlinear laguerre normalized LMS algorithm.
变步长非线性自适应拉格里归一化lms算法。
Notice how the step size increases as the value increases (values roughly double each time).
注意你的台阶尺寸随著值增加（大约值双每次）。
In this example, I create a vector (t) with values ranging from 0 to 2pi (with a step size of 0.2).
在这个例子中，先是创建了一个向量(t)，其值的范围从0到2pi(步进大小为0.2)。
Fixed step size can not result in fast convergence speed and low residual error simultaneously.
固定步长因子无法解决收敛速度和稳态误差之间的矛盾。
A step size of -1 goes through the word backwards, so the slice [: : -1] generates a reversed string.
步长如果为-1，意思就是倒序读取字符串，所以[：- 1]这个切片就会生成一个逆序的字符串了。
SpinnerNumberModel: Used for accepting input from a range of Numbers (int or double) with a set step size.
SpinnerNumberModel：用于接受已设定好步长的一定范围内的数字(int或double)的输入。
Slicing works by stating the starting index, the ending index, and an optional step size, all separated by semicolons.
分段的工作方式是声明开始索引、结束索引和一个可选的步骤大小，全部都用分号分隔。
In this approach we have the freedom in the choice of step size during the integration of the ordinary differential equation.
在这种方法中，我们可以在对常微分方程进行积分的过程中自由选择步长。
An adaptive filter with variable weight length and a LMS algorithm of variable step size and variable weight length are presented.
提出了变阶自适应滤波器和一种变步长变阶自适应LMS算法。
A fast phase-lock feature can also be enabled to give switch times between 11 and 22 ms depending on absolute frequency and step size.
一种快速锁相功能，也可以启用，使11日至22日开关时间取决于绝对频率和步长毫秒。
The key to successful application of this method in real data processing lies in appropriate spacial grids and time iteration step size.
选取合适的空间网格距离和时间迭代步长，是该方法应用到实际资料处理中的关键。
The effect of power control parameters including step size, TPC error, TPC delay and estimate SIR length on system performance is analyzed.
分析了功控调整步长、TPC差错、TPC时延和SIR估计等参数对系统性能的影响；
The paper introduces acoustic echo cancellation algorithm that is based on the improved and variable step size NLMS and it's DSP implementation.
介绍一种基于改进的可变步长规格化最小均方差(NLMS)回声消除算法研究和它的DSP实现。
After coarse frequency synchronization, frequency offset compensation is carried out using variable step size least mean square algorithm (VLMS).
经过频率粗同步后，以变步长的最小均方算法(VLMS)进行频率补偿。
By analyzing the partial linearization algorithm of CTDM, a quadratic interpolation method is proposed to obtain the approximated optimal step size.
对求解CTDM的部分线性化算法进行分析，提出了在进行步长优化时使用二次插值法得到模拟最优步长的方法。
The adaptive filter is based on variable step size LMS method (VSSLMS), which can reduce the computation requirement and improve the convergence speed.
自适应滤波算法采用变步长最小均方误差算法，减少了算法的运算量，提高了算法的收敛速度。
On the basis of analyzing variable step size adaptive filtering algorithm, adopted RAM search table to implement fast convolution in the filter operation.
在分析了变步长自适应滤波算法的基础上，采用基于RAM的查找表来实现滤波运算中的快速卷积。
This paper presented a new adaptive variable step size LMS algorithm, which controls step size according to the correlation of the gradient change of filter coefficients.
提出了一种根据滤波器系数梯度差值的自相关来计算步长的新的变步长自适应LMS算法。
During the minimizing process of variational assimilation, calculation efficiency is very important and the optimal step size greatly influences the algorithm efficiency.
在变分同化的最小化过程中，计算效率无疑是最重要的，而优化步长的计算又直接关系到算法效率的成败。
A new variable step size LMS algorithm with improved hyperbolic tangent function is presented, which is derived by the extensive review about some existing LMS algorithms.
在详细分析现有变步长LMS算法的基础上，给出一种以双曲正切函数的改进形式为变步长的LMS算法。
There are no probes in separate chaining, so there's no need to worry that a probe will go into an endless sequence because the step size divides evenly into the array size.
这里没有探测，所以不需要担心探测会因为表容量能被步长整除，而陷入无限的循环中。
There are no probes in separate chaining, so there's no need to worry that a probe will go into an endless sequence because the step size divides evenly into the array size.
这里没有探测，所以不需要担心探测会因为表容量能被步长整除，而陷入无限的循环中。
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