CEinCommun

points on elliptic curve, for ecc (elliptic curve cryptosystem)... point addition point multiplication

图象处理基础算法原代码MATLAB 集合。(image processing algorithms based on the original MATLAB code set.)

【matlab编程代做】matlab超级时钟 可以作为参考使用学习 ([Do] matlab matlab programming generation super clock can be used as a reference study)

由信道信号的复数值解调对应的二进制序列由信道信号的复数值找出对应的二进制序列。方法如下：由信道值， ％％求出该值与星座图中所有点的距离，找出距离最小的点，该点对应的 ％％二进制序列及为该信道对应的解调结果。 (Channel signal by the complex demodulation value corresponding to the binary sequence by the complex channel signals to identify the corresponding binary numerical sequence. As follows: by the channel value, the value obtained with the constellation diagram of all points of distance, find the smallest distance between points, the points of the corresponding binary sequence and the corresponding channel demodulation results.)

非线性加速度法计算单自由度体系地震时程反应,刚度矩阵，地震反应(Linear acceleration method to calculate the single degree of freedom system earthquake history response, stiffness matrix, seismic response)

用于大矩阵，采用矩阵运算优先速度的dtw算法实现。 dtw:Dynamic time warping 动态时间弯曲算法(dtw:Dynamic time warping )

radar equation, for counting, how far is your target

this code is assemble rectifire matlab code

Convert a numeric scalar to a string giving the English name of the number value (GB/US).

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)