This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》
标签： identification alogrithm simulates reference
上传时间： 2013-12-17
上传用户：kristycreasy
This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document
标签： identification frequency simulates alogrith
上传时间： 2016-02-29
上传用户：kytqcool
this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab.
标签： cancellation interfrence adaptive certain
上传时间： 2017-04-04
上传用户：GavinNeko
采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。
上传时间： 2013-12-08
上传用户：3到15
Normalized Least mean square algorithm in matlab
标签： Normalized algorithm matlab square
上传时间： 2017-05-25
上传用户：cainaifa
LMS: Least Mean Square the source code for state space environment.
标签： environment Square source Least
上传时间： 2013-12-25
上传用户：xzt
least mean square algorithm for estimation state
标签： estimation algorithm square least
上传时间： 2013-12-20
上传用户：jackgao
Least Mean Square Newton Algorithm
标签： Algorithm Square Newton Least
上传时间： 2014-01-13
上传用户：sardinescn
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
标签： least-squares unconstrained Statisti Applied
上传时间： 2015-05-14
上传用户：aig85
一个用java写的SQUARE算法
上传时间： 2013-12-20
上传用户：源码3
