搜索资源列表
45699GAtools
- 好用的。系统辨识中,递推最小二乘估计(RLS)是辨识模型阶次的一个重要的算法。该程序通过实现该算法,得到模型阶次的估计值以及相关参数值。 -refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedures through the realization of
chap3_1
- 热敏电阻和温度关系的最小二乘参数求解仿真程序 -Thermistor and temperature relationships for solving least squares parameter simulation program
spiking
- 脉冲反褶积时期望输出零延迟的尖脉冲的最小平方反褶积方法-Output zero latency spikes least squares deconvolution method expects pulse deconvolution
kolmog
- 最小平方反褶积是把地震子波压缩成尖脉冲,从而使地震记录能够直接反映地下反射系数序列-Least squares deconvolution of seismic waves are compressed into spikes, which can directly reflect the seismic record subsurface reflection coefficient series
Least-squares-curve-fitting-method
- 5 最小二乘法的曲线拟合-Least-squares curve fitting method
pvt-ls
- 本程序采用最小二乘法对有5颗可见卫星的情况下对接收机进行了定位,采用伪距测量法,每一句代码后面都有详细标注。-This procedure using the least squares method under five satellites in the case of the positioning receiver using pseudo-range measurements, each behind a code has a detailed annotation.