這是CISS會(huì)議上發(fā)表的著名論文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是講基于張量規(guī)范分解的多天線系統(tǒng)的忙識(shí)別問題，里邊包含了相應(yīng)的文章，可以一起對(duì)照著看。
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.
